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Orthogonal frequency-division multiplexing
Orthogonal frequency-division multiplexing
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In telecommunications, orthogonal frequency-division multiplexing (OFDM) is a type of digital transmission used in digital modulation for encoding digital (binary) data on multiple carrier frequencies. OFDM has developed into a popular scheme for wideband digital communication, used in applications such as digital television and audio broadcasting, DSL internet access, wireless networks, power line networks, and 4G/5G mobile communications.[1]

OFDM is a frequency-division multiplexing (FDM) scheme that was introduced by Robert W. Chang of Bell Labs in 1966.[2][3][4] In OFDM, the incoming bitstream representing the data to be sent is divided into multiple streams. Multiple closely spaced orthogonal subcarrier signals with overlapping spectra are transmitted, with each carrier modulated with bits from the incoming stream so multiple bits are being transmitted in parallel.[5] Demodulation is based on fast Fourier transform algorithms. OFDM was improved by Weinstein and Ebert in 1971 with the introduction of a guard interval, providing better orthogonality in transmission channels affected by multipath propagation.[6] Each subcarrier (signal) is modulated with a conventional modulation scheme (such as quadrature amplitude modulation or phase-shift keying) at a low symbol rate. This maintains total data rates similar to conventional single-carrier modulation schemes in the same bandwidth.[7]

Consecutive raised-cosine impulses, demonstrating zero-ISI property; these closely resemble OFDM power spectrum (frequency domain).

The main advantage of OFDM over single-carrier schemes is its ability to cope with severe channel conditions (for example, attenuation of high frequencies in a long copper wire, narrowband interference and frequency-selective fading due to multipath) without the need for complex equalization filters. Channel equalization is simplified because OFDM may be viewed as using many slowly modulated narrowband signals rather than one rapidly modulated wideband signal. The low symbol rate makes the use of a guard interval between symbols affordable, making it possible to eliminate intersymbol interference (ISI) and use echoes and time-spreading (in analog television visible as ghosting and blurring, respectively) to achieve a diversity gain, i.e. a signal-to-noise ratio improvement. This mechanism also facilitates the design of single frequency networks (SFNs) where several adjacent transmitters send the same signal simultaneously at the same frequency, as the signals from multiple distant transmitters may be re-combined constructively, sparing interference of a traditional single-carrier system.

In coded orthogonal frequency-division multiplexing (COFDM), forward error correction (convolutional coding) and time/frequency interleaving are applied to the signal being transmitted. This is done to overcome errors in mobile communication channels affected by multipath propagation and Doppler effects. COFDM was introduced by Alard in 1986[8][9][10] for Digital Audio Broadcasting for Eureka Project 147. In practice, OFDM has become used in combination with such coding and interleaving, so that the terms COFDM and OFDM co-apply to common applications.[11][12]

Example of applications

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The following list is a summary of existing OFDM-based standards and products. For further details, see the Usage section at the end of the article.

Wired version mostly known as Discrete Multi-tone Transmission (DMT)

[edit]

Wireless

[edit]

The OFDM-based multiple access technology OFDMA is also used in several 4G and pre-4G cellular networks, mobile broadband standards, the next generation WLAN and the wired portion of Hybrid fiber-coaxial networks:[citation needed]

Key features

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The advantages and disadvantages listed below are further discussed in the Characteristics and principles of operation section below.

Summary of advantages

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Summary of disadvantages

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Characteristics and principles of operation

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Orthogonality

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Conceptually, OFDM is a specialized frequency-division multiplexing (FDM) method, with the additional constraint that all subcarrier signals within a communication channel are orthogonal to one another.

In OFDM, the subcarrier frequencies are chosen so that the subcarriers are orthogonal to each other, meaning that crosstalk between the sub-channels is eliminated and inter-carrier guard bands are not required. This greatly simplifies the design of both the transmitter and the receiver; unlike conventional FDM, a separate filter for each sub-channel is not required.

The orthogonality requires that the subcarrier spacing is Hertz, where TU seconds is the useful symbol duration (the receiver-side window size), and k is a positive integer, typically equal to 1. This stipulates that each carrier frequency undergoes k more complete cycles per symbol period than the previous carrier. Therefore, with N subcarriers, the total passband bandwidth will be BN·Δf (Hz).

The orthogonality also allows high spectral efficiency, with a total symbol rate near the Nyquist rate for the equivalent baseband signal (i.e., near half the Nyquist rate for the double-side band physical passband signal). Almost the whole available frequency band can be used. OFDM generally has a nearly 'white' spectrum, giving it benign electromagnetic interference properties with respect to other co-channel users.

A simple example: A useful symbol duration TU = 1 ms would require a subcarrier spacing of (or an integer multiple of that) for orthogonality. N = 1,000 subcarriers would result in a total passband bandwidth of NΔf = 1 MHz. For this symbol time, the required bandwidth in theory according to Nyquist is (half of the achieved bandwidth required by our scheme), where R is the bit rate and where N = 1,000 samples per symbol by FFT. If a guard interval is applied (see below), Nyquist bandwidth requirement would be even lower. The FFT would result in N = 1,000 samples per symbol. If no guard interval was applied, this would result in a base band complex valued signal with a sample rate of 1 MHz, which would require a baseband bandwidth of 0.5 MHz according to Nyquist. However, the passband RF signal is produced by multiplying the baseband signal with a carrier waveform (i.e., double-sideband quadrature amplitude-modulation) resulting in a passband bandwidth of 1 MHz. A single-side band (SSB) or vestigial sideband (VSB) modulation scheme would achieve almost half that bandwidth for the same symbol rate (i.e., twice as high spectral efficiency for the same symbol alphabet length). It is however more sensitive to multipath interference.

OFDM requires very accurate frequency synchronization between the receiver and the transmitter; with frequency deviation the subcarriers will no longer be orthogonal, causing inter-carrier interference (ICI) (i.e., cross-talk between the subcarriers). Frequency offsets are typically caused by mismatched transmitter and receiver oscillators, or by Doppler shift due to movement. While Doppler shift alone may be compensated for by the receiver, the situation is worsened when combined with multipath, as reflections will appear at various frequency offsets, which is much harder to correct. This effect typically worsens as speed increases,[15] and is an important factor limiting the use of OFDM in high-speed vehicles. In order to mitigate ICI in such scenarios, one can shape each subcarrier in order to minimize the interference resulting in a non-orthogonal subcarriers overlapping.[16] For example, a low-complexity scheme referred to as WCP-OFDM (Weighted Cyclic Prefix Orthogonal Frequency-Division Multiplexing) consists of using short filters at the transmitter output in order to perform a potentially non-rectangular pulse shaping and a near perfect reconstruction using a single-tap per subcarrier equalization.[17] Other ICI suppression techniques usually drastically increase the receiver complexity.[18]

Implementation using the FFT algorithm

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The orthogonality allows for efficient modulator and demodulator implementation using the FFT algorithm on the receiver side, and inverse FFT on the sender side. Although the principles and some of the benefits have been known since the 1960s, OFDM is popular for wideband communications today by way of low-cost digital signal processing components that can efficiently calculate the FFT.

The time to compute the inverse-FFT or FFT has to take less than the time for each symbol,[19]: 84  which for example for DVB-T (FFT 8k) means the computation has to be done in 896 µs or less.

For an 8192-point FFT this may be approximated to:[19][clarification needed]

The computational demand approximately scales linearly with FFT size so a double size FFT needs double the amount of time and vice versa.[19]: 83  As a comparison an Intel Pentium III CPU at 1.266 GHz is able to calculate a 8192 point FFT in 576 µs using FFTW.[20] Intel Pentium M at 1.6 GHz does it in 387 µs.[21] Intel Core Duo at 3.0 GHz does it in 96.8 µs.[22]

Guard interval for elimination of intersymbol interference

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One key principle of OFDM is that since low symbol rate modulation schemes (i.e., where the symbols are relatively long compared to the channel time characteristics) suffer less from intersymbol interference caused by multipath propagation, it is advantageous to transmit a number of low-rate streams in parallel instead of a single high-rate stream. Since the duration of each symbol is long, it is feasible to insert a guard interval between the OFDM symbols, thus eliminating the intersymbol interference.

The guard interval also eliminates the need for a pulse-shaping filter, and it reduces the sensitivity to time synchronization problems.

A simple example: If one sends a million symbols per second using conventional single-carrier modulation over a wireless channel, then the duration of each symbol would be one microsecond or less. This imposes severe constraints on synchronization and necessitates the removal of multipath interference. If the same million symbols per second are spread among one thousand sub-channels, the duration of each symbol can be longer by a factor of a thousand (i.e., one millisecond) for orthogonality with approximately the same bandwidth. Assume that a guard interval of 1/8 of the symbol length is inserted between each symbol. Intersymbol interference can be avoided if the multipath time-spreading (the time between the reception of the first and the last echo) is shorter than the guard interval (i.e., 125 microseconds). This corresponds to a maximum difference of 37.5 kilometers between the lengths of the paths.

The cyclic prefix, which is transmitted during the guard interval, consists of the end of the OFDM symbol copied into the guard interval, and the guard interval is transmitted followed by the OFDM symbol. The reason that the guard interval consists of a copy of the end of the OFDM symbol is so that the receiver will integrate over an integer number of sinusoid cycles for each of the multipaths when it performs OFDM demodulation with the FFT.

In some standards such as Ultrawideband, in the interest of transmitted power, cyclic prefix is skipped and nothing is sent during the guard interval. The receiver will then have to mimic the cyclic prefix functionality by copying the end part of the OFDM symbol and adding it to the beginning portion.

Simplified equalization

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The effects of frequency-selective channel conditions, for example fading caused by multipath propagation, can be considered as constant (flat) over an OFDM sub-channel if the sub-channel is sufficiently narrow-banded (i.e., if the number of sub-channels is sufficiently large). This makes frequency domain equalization possible at the receiver, which is far simpler than the time-domain equalization used in conventional single-carrier modulation. In OFDM, the equalizer only has to multiply each detected subcarrier (each Fourier coefficient) in each OFDM symbol by a constant complex number, or a rarely changed value. On a fundamental level, simpler digital equalizers are better because they require fewer operations, which translates to fewer round-off errors in the equalizer. Those round-off errors can be viewed as numerical noise and are inevitable.

Our example: The OFDM equalization in the above numerical example would require one complex valued multiplication per subcarrier and symbol (i.e., complex multiplications per OFDM symbol; i.e., one million multiplications per second, at the receiver). The FFT algorithm requires [this is imprecise: over half of these complex multiplications are trivial, i.e. = to 1 and are not implemented in software or HW]. complex-valued multiplications per OFDM symbol (i.e., 10 million multiplications per second), at both the receiver and transmitter side. This should be compared with the corresponding one million symbols/second single-carrier modulation case mentioned in the example, where the equalization of 125 microseconds time-spreading using a FIR filter would require, in a naive implementation, 125 multiplications per symbol (i.e., 125 million multiplications per second). FFT techniques can be used to reduce the number of multiplications for an FIR filter-based time-domain equalizer to a number comparable with OFDM, at the cost of delay between reception and decoding which also becomes comparable with OFDM.

If differential modulation such as DPSK or DQPSK is applied to each subcarrier, equalization can be completely omitted, since these non-coherent schemes are insensitive to slowly changing amplitude and phase distortion.

In a sense, improvements in FIR equalization using FFTs or partial FFTs leads mathematically closer to OFDM,[citation needed] but the OFDM technique is easier to understand and implement, and the sub-channels can be independently adapted in other ways than varying equalization coefficients, such as switching between different QAM constellation patterns and error-correction schemes to match individual sub-channel noise and interference characteristics.[clarification needed]

Some of the subcarriers in some of the OFDM symbols may carry pilot signals for measurement of the channel conditions[23][24] (i.e., the equalizer gain and phase shift for each subcarrier). Pilot signals and training symbols (preambles) may also be used for time synchronization (to avoid intersymbol interference, ISI) and frequency synchronization (to avoid inter-carrier interference, ICI, caused by Doppler shift).

OFDM was initially used for wired and stationary wireless communications. However, with an increasing number of applications operating in highly mobile environments, the effect of dispersive fading caused by a combination of multi-path propagation and doppler shift is more significant. Over the last decade, research has been done on how to equalize OFDM transmission over doubly selective channels.[25][26][27]

Channel coding and interleaving

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OFDM is invariably used in conjunction with channel coding (forward error correction), and almost always uses frequency and/or time interleaving.

Frequency (subcarrier) interleaving increases resistance to frequency-selective channel conditions such as fading. For example, when a part of the channel bandwidth fades, frequency interleaving ensures that the bit errors that would result from those subcarriers in the faded part of the bandwidth are spread out in the bit-stream rather than being concentrated. Similarly, time interleaving ensures that bits that are originally close together in the bit-stream are transmitted far apart in time, thus mitigating against severe fading as would happen when travelling at high speed.

However, time interleaving is of little benefit in slowly fading channels, such as for stationary reception, and frequency interleaving offers little to no benefit for narrowband channels that suffer from flat-fading (where the whole channel bandwidth fades at the same time).

The reason why interleaving is used on OFDM is to attempt to spread the errors out in the bit-stream that is presented to the error correction decoder, because when such decoders are presented with a high concentration of errors the decoder is unable to correct all the bit errors, and a burst of uncorrected errors occurs. A similar design of audio data encoding makes compact disc (CD) playback robust.

A classical type of error correction coding used with OFDM-based systems is convolutional coding, often concatenated with Reed-Solomon coding. Usually, additional interleaving (on top of the time and frequency interleaving mentioned above) in between the two layers of coding is implemented. The choice for Reed-Solomon coding as the outer error correction code is based on the observation that the Viterbi decoder used for inner convolutional decoding produces short error bursts when there is a high concentration of errors, and Reed-Solomon codes are inherently well suited to correcting bursts of errors.

Newer systems, however, usually now adopt near-optimal types of error correction codes that use the turbo decoding principle, where the decoder iterates towards the desired solution. Examples of such error correction coding types include turbo codes and LDPC codes, which perform close to the Shannon limit for the Additive White Gaussian Noise (AWGN) channel. Some systems that have implemented these codes have concatenated them with either Reed-Solomon (for example on the MediaFLO system) or BCH codes (on the DVB-S2 system) to improve upon an error floor inherent to these codes at high signal-to-noise ratios.[28]

Adaptive transmission

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The resilience to severe channel conditions can be further enhanced if information about the channel is sent over a return-channel. Based on this feedback information, adaptive modulation, channel coding and power allocation may be applied across all subcarriers, or individually to each subcarrier. In the latter case, if a particular range of frequencies suffers from interference or attenuation, the carriers within that range can be disabled or made to run slower by applying more robust modulation or error coding to those subcarriers.

The term discrete multitone modulation (DMT) denotes OFDM-based communication systems that adapt the transmission to the channel conditions individually for each subcarrier, by means of so-called bit-loading. Examples are ADSL and VDSL.

The upstream and downstream speeds can be varied by allocating either more or fewer carriers for each purpose. Some forms of rate-adaptive DSL use this feature in real time, so that the bitrate is adapted to the co-channel interference and bandwidth is allocated to whichever subscriber needs it most.

OFDM extended with multiple access

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OFDM in its primary form is considered as a digital modulation technique, and not a multi-user channel access method, since it is used for transferring one bit stream over one communication channel using one sequence of OFDM symbols. However, OFDM can be combined with multiple access using time, frequency or coding separation of the users.

In orthogonal frequency-division multiple access (OFDMA), frequency-division multiple access is achieved by assigning different OFDM sub-channels to different users. OFDMA supports differentiated quality of service by assigning different number of subcarriers to different users in a similar fashion as in CDMA, and thus complex packet scheduling or medium access control schemes can be avoided. OFDMA is used in:

  • the mobility mode of the IEEE 802.16 Wireless MAN standard, commonly referred to as WiMAX,
  • the IEEE 802.20 mobile Wireless MAN standard, commonly referred to as MBWA,
  • the 3GPP Long Term Evolution (LTE) fourth generation mobile broadband standard downlink. The radio interface was formerly named High Speed OFDM Packet Access (HSOPA), now named Evolved UMTS Terrestrial Radio Access (E-UTRA).
  • the 3GPP 5G NR (New Radio) fifth generation mobile network standard downlink and uplink. 5G NR is the successor to LTE.
  • the now defunct Qualcomm/3GPP2 Ultra Mobile Broadband (UMB) project, intended as a successor of CDMA2000, but replaced by LTE.

OFDMA is also a candidate access method for the IEEE 802.22 Wireless Regional Area Networks (WRAN). The project aims at designing the first cognitive radio-based standard operating in the VHF-low UHF spectrum (TV spectrum).

  • the most recent amendment of 802.11 standard, namely 802.11ax, includes OFDMA for high efficiency and simultaneous communication.

In multi-carrier code-division multiple access (MC-CDMA), also known as OFDM-CDMA, OFDM is combined with CDMA spread spectrum communication for coding separation of the users. Co-channel interference can be mitigated, meaning that manual fixed channel allocation (FCA) frequency planning is simplified, or complex dynamic channel allocation (DCA) schemes are avoided.

Space diversity

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In OFDM-based wide-area broadcasting, receivers can benefit from receiving signals from several spatially dispersed transmitters simultaneously, since transmitters will only destructively interfere with each other on a limited number of subcarriers, whereas in general they will actually reinforce coverage over a wide area. This is very beneficial in many countries, as it permits the operation of national single-frequency networks (SFN), where many transmitters send the same signal simultaneously over the same channel frequency. SFNs use the available spectrum more effectively than conventional multi-frequency broadcast networks (MFN), where program content is replicated on different carrier frequencies. SFNs also result in a diversity gain in receivers situated midway between the transmitters. The coverage area is increased and the outage probability decreased in comparison to an MFN, due to increased received signal strength averaged over all subcarriers.

Although the guard interval only contains redundant data, which means that it reduces the capacity, some OFDM-based systems, such as some of the broadcasting systems, deliberately use a long guard interval in order to allow the transmitters to be spaced farther apart in an SFN, and longer guard intervals allow larger SFN cell-sizes. A rule of thumb for the maximum distance between transmitters in an SFN is equal to the distance a signal travels during the guard interval — for instance, a guard interval of 200 microseconds would allow transmitters to be spaced 60 km apart.

A single frequency network is a form of transmitter macrodiversity. The concept can be further used in dynamic single-frequency networks (DSFN), where the SFN grouping is changed from timeslot to timeslot.

OFDM may be combined with other forms of space diversity, for example antenna arrays and MIMO channels. This is done in the IEEE 802.11 Wireless LAN standards.

Linear transmitter power amplifier

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An OFDM signal exhibits a high peak-to-average power ratio (PAPR) because the independent phases of the subcarriers mean that they will often combine constructively. Handling this high PAPR requires:

Any non-linearity in the signal chain will cause intermodulation distortion that

  • Raises the noise floor
  • May cause inter-carrier interference
  • Generates out-of-band spurious radiation

The linearity requirement is demanding, especially for transmitter RF output circuitry where amplifiers are often designed to be non-linear in order to minimise power consumption. In practical OFDM systems a small amount of peak clipping is allowed to limit the PAPR in a judicious trade-off against the above consequences. However, the transmitter output filter which is required to reduce out-of-band spurs to legal levels has the effect of restoring peak levels that were clipped, so clipping is not an effective way to reduce PAPR.

Although the spectral efficiency of OFDM is attractive for both terrestrial and space communications, the high PAPR requirements have so far limited OFDM applications to terrestrial systems.

The crest factor CF (in dB) for an OFDM system with n uncorrelated subcarriers is[29]

where CFc is the crest factor (in dB) for each subcarrier. (CFc is 3.01 dB for the sine waves used for BPSK and QPSK modulation).

For example, the DVB-T signal in 2K mode is composed of 1705 subcarriers that are each QPSK-modulated, giving a crest factor of 35.32 dB.[29]

Many PAPR (or crest factor) reduction techniques have been developed, for instance, based on iterative clipping.[30] Over the years, numerous model-driven approaches have been proposed to reduce the PAPR in communication systems. In recent years, there has been a growing interest in exploring data-driven models for PAPR reduction as part of ongoing research in end-to-end communication networks. These data-driven models offer innovative solutions and new avenues of exploration to address the challenges posed by high PAPR effectively. By leveraging data-driven techniques, researchers aim to enhance the performance and efficiency of communication networks by optimizing power utilization. [31]


The dynamic range required for an FM receiver is 120 dB while DAB only require about 90 dB.[32] As a comparison, each extra bit per sample increases the dynamic range by 6 dB.

Efficiency comparison between single carrier and multicarrier

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The performance of any communication system can be measured in terms of its power efficiency and bandwidth efficiency. The power efficiency describes the ability of communication system to preserve bit error rate (BER) of the transmitted signal at low power levels. Bandwidth efficiency reflects how efficiently the allocated bandwidth is used and is defined as the throughput data rate per hertz in a given bandwidth. If the large number of subcarriers are used, the bandwidth efficiency of multicarrier system such as OFDM with using optical fiber channel is defined as[33]

where is the symbol rate in giga-symbols per second (Gsps), is the bandwidth of OFDM signal, and the factor of 2 is due to the two polarization states in the fiber.

There is saving of bandwidth by using multicarrier modulation with orthogonal frequency-division multiplexing. So the bandwidth for multicarrier system is less in comparison with single carrier system and hence bandwidth efficiency of multicarrier system is larger than single carrier system.

S. no. Transmission type M in M-QAM No. of subcarriers Bit rate Fiber length Received power, at BER of 10−9 Bandwidth efficiency
1 Single carrier 64 1 10 Gbit/s 20 km −37.3 dBm 6.0000
2 Multicarrier 64 128 10 Gbit/s 20 km −36.3 dBm 10.6022

There is only 1 dB increase in receiver power, but we get 76.7% improvement in bandwidth efficiency with using multicarrier transmission technique.

Idealized system model

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This section describes a simple idealized OFDM system model suitable for a time-invariant AWGN channel.

Transmitter

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An OFDM carrier signal is the sum of a number of orthogonal subcarriers, with baseband data on each subcarrier being independently modulated commonly using some type of quadrature amplitude modulation (QAM) or phase-shift keying (PSK). This composite baseband signal is typically used to modulate a main RF carrier.

is a serial stream of binary digits. By inverse multiplexing, these are first demultiplexed into parallel streams, and each one mapped to a (possibly complex) symbol stream using some modulation constellation (QAM, PSK, etc.). Note that the constellations may be different, so some streams may carry a higher bit-rate than others.

An inverse FFT is computed on each set of symbols, giving a set of complex time-domain samples. These samples are then quadrature-mixed to passband in the standard way. The real and imaginary components are first converted to the analogue domain using digital-to-analogue converters (DACs); the analogue signals are then used to modulate cosine and sine waves at the carrier frequency, , respectively. These signals are then summed to give the transmission signal, .

Receiver

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The receiver picks up the signal , which is then quadrature-mixed down to baseband using cosine and sine waves at the carrier frequency. This also creates signals centered on , so low-pass filters are used to reject these. The baseband signals are then sampled and digitised using analog-to-digital converters (ADCs), and a forward FFT is used to convert back to the frequency domain.

This returns parallel streams, each of which is converted to a binary stream using an appropriate symbol detector. These streams are then re-combined into a serial stream, , which is an estimate of the original binary stream at the transmitter.

Mathematical description

[edit]
Subcarriers system of OFDM signals after FFT

If subcarriers are used, and each subcarrier is modulated using alternative symbols, the OFDM symbol alphabet consists of combined symbols.

The low-pass equivalent OFDM filter is expressed as:

where are the data symbols, is the number of subcarriers, and is the OFDM symbol time. The subcarrier spacing of makes them orthogonal over each symbol period; this property is expressed as:

where denotes the complex conjugate operator and is the Kronecker delta.

To avoid intersymbol interference in multipath fading channels, a guard interval of length is inserted prior to the OFDM block. During this interval, a cyclic prefix is transmitted such that the signal in the interval equals the signal in the interval . The OFDM signal with cyclic prefix is thus:

The low-pass signal filter above can be either real or complex-valued. Real-valued low-pass equivalent signals are typically transmitted at baseband—wireline applications such as DSL use this approach. For wireless applications, the low-pass signal is typically complex-valued; in which case, the transmitted signal is up-converted to a carrier frequency . In general, the transmitted signal can be represented as:

Usage

[edit]

OFDM is used in:

OFDM system comparison table

[edit]

Key features of some common OFDM-based systems are presented in the following table.

Standard name DAB Eureka 147 DVB-T DVB-H DTMB DVB-T2 IEEE 802.11a
Year ratified 1995 1997 2004 2006 2007 1999
Frequency range of
today's equipment (MHz)
174–240, 1,452–1,492 470–862, 174–230 470–862 48–870 4,915–6,100
Channel spacing,
B (MHz)
1.712 6, 7, 8 5, 6, 7, 8 6, 7, 8 1.7, 5, 6, 7, 8, 10 20
FFT size, k = 1,024 Mode I: 2k
Mode II: 512
Mode III: 256
Mode IV: 1k
2k, 8k 2k, 4k, 8k 1 (single-carrier)
4k (multi-carrier)
1k, 2k, 4k, 8k, 16k, 32k 64
Number of non-silent subcarriers, N Mode I: 1,536
Mode II: 384
Mode III: 192
Mode IV: 768
2K mode: 1,705
8K mode: 6,817
1,705, 3,409, 6,817 1 (single-carrier)
3,780 (multi-carrier)
853–27,841 (1K normal to 32K extended carrier mode) 52
Subcarrier modulation scheme π4-DQPSK QPSK,[35] 16QAM, 64QAM QPSK,[35] 16QAM, 64QAM 4QAM,[35] 4QAM-NR,[36] 16QAM, 32QAM, 64QAM QPSK, 16QAM, 64QAM, 256QAM BPSK, QPSK,[35] 16QAM, 64QAM
Useful symbol
length, TU (μs)
Mode I: 1,000
Mode II: 250
Mode III: 125
Mode IV: 500
2K mode: 224
8K mode: 896
224, 448, 896 500 (multi-carrier) 112–3,584 (1K to 32K mode on 8 MHz channel) 3.2
Additional guard
interval, TG/TU
24.6% (all modes) 14, 18, 116, 132 14, 18, 116, 132 14, 16, 19 1/128, 1/32, 1/16, 19/256, 1/8, 19/128, 1/4
(for 32k mode maximum 1/8)
14
Subcarrier spacing,
(Hz)
Mode I: 1,000
Mode II: 4,000
Mode III: 8,000
Mode IV: 2,000
2K mode: 4,464
8K mode: 1,116
4,464, 2,232, 1,116 8 M (single-carrier)
2,000 (multi-carrier)
279–8,929 (32K down to 1K mode) 312.5 K
Net bit rate,
R (Mbit/s)
0.576–1.152 4.98–31.67
(typ. 24.13)
3.7–23.8 4.81–32.49 Typically 35.4 6–54
Link spectral efficiency,
R/B (bit/s·Hz)
0.34–0.67 0.62–4.0 (typ. 3.0) 0.62–4.0 0.60–4.1 0.87–6.65 0.30–2.7
Inner FEC Conv. coding with equal error protection code rates:
14, 38, 49, 12, 47, 23, 34, 45

Unequal error protection with avg. code rates of:
~0.34, 0.41, 0.50, 0.60, and 0.75

Conv. coding with code rates:
12, 23, 34, 56, or 78
Conv. coding with code rates:
12, 23, 34, 56, or 78
LDPC with code rates:
0.4, 0.6, or 0.8
LDPC: 12, 35, 23, 34, 45, 56 Conv. coding with code rates:
12, 23, or 34
Outer FEC Optional RS (120, 110, t = 5) RS (204, 188, t = 8) RS (204, 188, t = 8) + MPE-FEC BCH code (762, 752) BCH code None
Maximum travelling
speed (km/h)
200–600 53–185, varies with transmission frequency
Time interleaving
depth (ms)
384 0.6–3.5 0.6–3.5 200–500 Up to 250 (500 with extension frame)
Adaptive transmission None None None None
Multiple access method None None None None
Typical source coding 192 kbit/s MPEG2 Audio layer 2 2–18 Mbit/s Standard – HDTV H.264 or MPEG2 H.264 Not defined (video: MPEG-2, H.264, H.265 and/or AVS+; audio: MP2 or DRA or AC-3) H.264 or MPEG2 (audio: AAC HE, Dolby Digital AC-3 (A52), MPEG-2 AL 2)

ADSL

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OFDM is used in ADSL connections that follow the ANSI T1.413 and G.dmt (ITU G.992.1) standards, where it is called discrete multitone modulation (DMT).[37] DSL achieves high-speed data connections on existing copper wires. OFDM is also used in the successor standards ADSL2, ADSL2+, VDSL, VDSL2, and G.fast. ADSL2 uses variable subcarrier modulation, ranging from BPSK to 32768QAM (in ADSL terminology this is referred to as bit-loading, or bit per tone, 1 to 15 bits per subcarrier).

Long copper wires suffer from attenuation at high frequencies. The fact that OFDM can cope with this frequency selective attenuation and with narrow-band interference are the main reasons it is frequently used in applications such as ADSL modems.

Powerline Technology

[edit]

OFDM is used by many powerline devices to extend digital connections through power wiring. Adaptive modulation is particularly important with such a noisy channel as electrical wiring. Some medium speed smart metering modems, "Prime" and "G3" use OFDM at modest frequencies (30–100 kHz) with modest numbers of channels (several hundred) in order to overcome the intersymbol interference in the power line environment.[38] The IEEE 1901 standards include two incompatible physical layers that both use OFDM.[39] The ITU-T G.hn standard, which provides high-speed local area networking over existing home wiring (power lines, phone lines and coaxial cables) is based on a PHY layer that specifies OFDM with adaptive modulation and a Low-Density Parity-Check (LDPC) FEC code.[34]

Wireless local area networks (LAN) and metropolitan area networks (MAN)

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OFDM is extensively used in wireless LAN and MAN applications, including IEEE 802.11a/g/n and WiMAX.

IEEE 802.11a/g/n, operating in the 2.4 and 5 GHz bands, specifies per-stream airside data rates ranging from 6 to 54 Mbit/s. If both devices can use "HT mode" (added with 802.11n), the top 20 MHz per-stream rate is increased to 72.2 Mbit/s, with the option of data rates between 13.5 and 150 Mbit/s using a 40 MHz channel. Four different modulation schemes are used: BPSK, QPSK, 16-QAM, and 64-QAM, along with a set of error correcting rates (1/2–5/6). The multitude of choices allows the system to adapt the optimum data rate for the current signal conditions.

Wireless personal area networks (PAN)

[edit]

OFDM is also now being used in the WiMedia/Ecma-368 standard for high-speed wireless personal area networks in the 3.1–10.6 GHz ultrawideband spectrum (see MultiBand-OFDM).

Terrestrial digital radio and television broadcasting

[edit]

Much of Europe and Asia has adopted OFDM for terrestrial broadcasting of digital television (DVB-T, DVB-H and T-DMB) and radio (EUREKA 147 DAB, Digital Radio Mondiale, HD Radio and T-DMB).

DVB-T

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By Directive of the European Commission, all television services transmitted to viewers in the European Community must use a transmission system that has been standardized by a recognized European standardization body,[40] and such a standard has been developed and codified by the DVB Project, Digital Video Broadcasting (DVB); Framing structure, channel coding and modulation for digital terrestrial television.[41] Customarily referred to as DVB-T, the standard calls for the exclusive use of COFDM for modulation. DVB-T is now widely used in Europe and elsewhere for terrestrial digital TV.

SDARS

[edit]

The ground segments of the Digital Audio Radio Service (SDARS) systems used by XM Satellite Radio and Sirius Satellite Radio are transmitted using Coded OFDM (COFDM).[42] The word "coded" comes from the use of forward error correction (FEC).[5]

COFDM vs VSB

[edit]

The question of the relative technical merits of COFDM versus 8VSB for terrestrial digital television has been a subject of some controversy, especially between European and North American technologists and regulators. The United States has rejected several proposals to adopt the COFDM-based DVB-T system for its digital television services, and for many years has opted to use 8VSB (vestigial sideband modulation) exclusively for terrestrial digital television.[43] However, in November 2017, the FCC approved a voluntary transition to ATSC 3.0, a new broadcast standard which is based on COFDM. Unlike the first digital television transition in America, TV stations will not be assigned separate frequencies to transmit ATSC 3.0 and are not required to switch to ATSC 3.0 by any deadline. Televisions sold in the U.S. are also not required to include ATSC 3.0 tuning capabilities. Full-powered television stations are permitted to make the switch to ATSC 3.0, as long as they continue to make their main channel available through a simulcast agreement with another in-market station (with a similar coverage area) through at least November 2022.[44]

One of the major benefits provided by COFDM is in rendering radio broadcasts relatively immune to multipath distortion and signal fading due to atmospheric conditions or passing aircraft. Proponents of COFDM argue it resists multipath far better than 8VSB. Early 8VSB DTV (digital television) receivers often had difficulty receiving a signal. Also, COFDM allows single-frequency networks, which is not possible with 8VSB.

However, newer 8VSB receivers are far better at dealing with multipath, hence the difference in performance may diminish with advances in equalizer design.[45]

Digital radio

[edit]

COFDM is also used for other radio standards, for Digital Audio Broadcasting (DAB), the standard for digital audio broadcasting at VHF frequencies, for Digital Radio Mondiale (DRM), the standard for digital broadcasting at shortwave and medium wave frequencies (below 30 MHz) and for DRM+ a more recently introduced standard for digital audio broadcasting at VHF frequencies. (30 to 174 MHz)

The United States again uses an alternate standard, a proprietary system developed by iBiquity dubbed HD Radio. However, it uses COFDM as the underlying broadcast technology to add digital audio to AM (medium wave) and FM broadcasts.

Both Digital Radio Mondiale and HD Radio are classified as in-band on-channel systems, unlike Eureka 147 (DAB: Digital Audio Broadcasting) which uses separate VHF or UHF frequency bands instead.

BST-OFDM used in ISDB

[edit]

The band-segmented transmission orthogonal frequency-division multiplexing (BST-OFDM) system proposed for Japan (in the ISDB-T, ISDB-TSB, and ISDB-C broadcasting systems) improves upon COFDM by exploiting the fact that some OFDM carriers may be modulated differently from others within the same multiplex. Some forms of COFDM already offer this kind of hierarchical modulation, though BST-OFDM is intended to make it more flexible. The 6 MHz television channel may therefore be "segmented", with different segments being modulated differently and used for different services.

It is possible, for example, to send an audio service on a segment that includes a segment composed of a number of carriers, a data service on another segment and a television service on yet another segment—all within the same 6 MHz television channel. Furthermore, these may be modulated with different parameters so that, for example, the audio and data services could be optimized for mobile reception, while the television service is optimized for stationary reception in a high-multipath environment.

Ultra-wideband

[edit]

Ultra-wideband (UWB) wireless personal area network technology may also use OFDM, such as in Multiband OFDM (MB-OFDM). This UWB specification is advocated by the WiMedia Alliance (formerly by both the Multiband OFDM Alliance [MBOA] and the WiMedia Alliance, but the two have now merged), and is one of the competing UWB radio interfaces.

Flash-OFDM

[edit]

Fast low-latency access with seamless handoff orthogonal frequency-division multiplexing (Flash-OFDM), also referred to as F-OFDM, was based on OFDM and also specified higher protocol layers. It was developed by Flarion, and purchased by Qualcomm in January 2006.[46][47] Flash-OFDM was marketed as a packet-switched cellular bearer, to compete with GSM and 3G networks. As an example, 450 MHz frequency bands previously used by NMT-450 and C-Net C450 (both 1G analogue networks, now mostly decommissioned) in Europe are being licensed to Flash-OFDM operators.[citation needed]

In Finland, the license holder Digita began deployment of a nationwide "@450" wireless network in parts of the country since April 2007. It was purchased by Datame in 2011.[48] In February 2012 Datame announced they would upgrade the 450 MHz network to competing CDMA2000 technology.[49]

Slovak Telekom in Slovakia offers Flash-OFDM connections[50] with a maximum downstream speed of 5.3 Mbit/s, and a maximum upstream speed of 1.8 Mbit/s, with a coverage of over 70 percent of Slovak population.[citation needed] The Flash-OFDM network was switched off in the majority of Slovakia on 30 September 2015.[51]

T-Mobile Germany used Flash-OFDM to backhaul Wi-Fi HotSpots on the Deutsche Bahn's ICE high speed trains between 2005 and 2015, until switching over to UMTS and LTE.[52]

American wireless carrier Nextel Communications field tested wireless broadband network technologies including Flash-OFDM in 2005.[53] Sprint purchased the carrier in 2006 and decided to deploy the mobile version of WiMAX, which is based on Scalable Orthogonal Frequency-Division Multiple Access (SOFDMA) technology.[54]

Citizens Telephone Cooperative launched a mobile broadband service based on Flash-OFDM technology to subscribers in parts of Virginia in March 2006. The maximum speed available was 1.5 Mbit/s.[55] The service was discontinued on April 30, 2009.[56]

Vector OFDM (VOFDM)

[edit]

VOFDM was proposed by Xiang-Gen Xia in 2000 (Proceedings of ICC 2000, New Orleans, and IEEE Trans. on Communications, Aug. 2001) for single transmit antenna systems. VOFDM replaces each scalar value in the conventional OFDM by a vector value and is a bridge between OFDM and the single carrier frequency domain equalizer (SC-FDE). When the vector size is , it is OFDM and when the vector size is at least the channel length and the FFT size is , it is SC-FDE.

In VOFDM, assume is the vector size, and each scalar-valued signal in OFDM is replaced by a vector-valued signal of vector size , . One takes the -point IFFT of , component-wisely and gets another vector sequence of the same vector size , . Then, one adds a vector CP of length to this vector sequence as

.

This vector sequence is converted to a scalar sequence by sequentializing all the vectors of size , which is transmitted at a transmit antenna sequentially.

At the receiver, the received scalar sequence is first converted to the vector sequence of vector size . When the CP length satisfies , then, after the vector CP is removed from the vector sequence and the -point FFT is implemented component-wisely to the vector sequence of length , one obtains

where are additive white noise and and is the following polyphase matrix of the ISI channel :

,

where is the th polyphase component of the channel . From (1), one can see that the original ISI channel is converted to many vector subchannels of vector size . There is no ISI across these vector subchannels but there is ISI inside each vector subchannel. In each vector subchannel, at most many symbols are interfered each other. Clearly, when the vector size , the above VOFDM returns to OFDM and when and , it becomes the SC-FDE. The vector size is a parameter that one can choose freely and properly in practice and controls the ISI level. There may be a trade-off between vector size , demodulation complexity at the receiver, and FFT size, for a given channel bandwidth. Equation (1) is mathematically new for an ISI channel, when the vector size .

Note that the length of the CP part in the sequential form does not have to be an integer multiple of the vector size, . One can truncate the above vectorized CP to a sequential CP of length not less than the ISI channel length, which will not affect the above demodulation.

Also note that there exist many other different generalizations/forms of OFDM, to see their essential differences, it is critical to see their corresponding received signal equations to demodulate. The above VOFDM is the earliest and the only one that achieves the received signal equation (1) and/or its equivalent form, although it may have different implementations at transmitter vs. different IFFT algorithms.

It has been shown (Yabo Li et al., IEEE Trans. on Signal Processing, Oct. 2012) that applying the MMSE linear receiver to each vector subchannel (1), it achieves multipath diversity and/or signal space diversity. This is because the vectorized channel matrices in (1) are pseudo-circulant and can be diagonalized by the -point DFT/IDFT matrix with some diagonal phase shift matrices. Then, the right hand side DFT/IDFT matrix and the th diagonal phase shift matrix in the diagonalization can be thought of the precoding to the input information symbol vector in the th sub vector channel, and all the vectorized subchannels become diagonal channels of discrete frequency components from the -point DFT of the original ISI channel. It may collect the multipath diversity and/or signal space diversity similar to the precoding to collect the signal space diversity for single antenna systems to combat wireless fading or the diagonal space-time block coding to collect the spatial diversity for multiple antenna systems. The details are referred to the IEEE TCOM and IEEE TSP papers mentioned above.

Wavelet-OFDM

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OFDM has become an interesting technique for power line communications (PLC). In this area of research, a wavelet transform is introduced to replace the DFT as the method of creating orthogonal frequencies. This is due to the advantages wavelets offer, which are particularly useful on noisy power lines.[57]

Instead of using an IDFT to create the sender signal, the wavelet OFDM uses a synthesis bank consisting of a -band transmultiplexer followed by the transform function

On the receiver side, an analysis bank is used to demodulate the signal again. This bank contains an inverse transform

followed by another -band transmultiplexer. The relationship between both transform functions is

An example of W-OFDM uses the Perfect Reconstruction Cosine Modulated Filter Bank (PR-CMFB)[58] and Extended Lapped Transform (ELT)[59][60] is used for the wavelet TF. Thus, and are given as

These two functions are their respective inverses, and can be used to modulate and demodulate a given input sequence. Just as in the case of DFT, the wavelet transform creates orthogonal waves with , , ..., . The orthogonality ensures that they do not interfere with each other and can be sent simultaneously. At the receiver, , , ..., are used to reconstruct the data sequence once more.

Advantages over standard OFDM

[edit]

W-OFDM is an evolution of the standard OFDM, with certain advantages.

Mainly, the sidelobe levels of W-OFDM are lower. This results in less ICI, as well as greater robustness to narrowband interference. These two properties are especially useful in PLC, where most of the lines aren't shielded against EM-noise, which creates noisy channels and noise spikes.

A comparison between the two modulation techniques also reveals that the complexity of both algorithms remains approximately the same.[57]

Other orthogonal transforms

[edit]

The vast majority of implementations of OFDM use the fast Fourier transform (FFT). However, there exist other orthogonal transforms that can be used. For example, OFDM systems based on the discrete Hartley transform (DHT) [61] and the wavelet transform have been investigated.

History

[edit]
  • 1957: Kineplex, multi-carrier HF modem (R.R. Mosier & R.G. Clabaugh)[62][63]
  • 1966: Chang, Bell Labs: OFDM paper[3] and patent[4]
  • 1971: Weinstein & Ebert proposed use of FFT and guard interval[6]
  • 1985: Cimini described use of OFDM for mobile communications
  • 1985: Telebit Trailblazer Modem introduced a 512 carrier Packet Ensemble Protocol (18 432 bit/s)
  • 1987: Alard & Lasalle: COFDM for digital broadcasting[9]
  • 1988: In September TH-CSF LER, first experimental Digital TV link in OFDM, Paris area
  • 1989: OFDM international patent application[64]
  • October 1990: TH-CSF LER, first OFDM equipment field test, 34 Mbit/s in an 8 MHz channel, experiments in Paris area
  • December 1990: TH-CSF LER, first OFDM test bed comparison with VSB in Princeton USA
  • September 1992: TH-CSF LER, second generation equipment field test, 70 Mbit/s in an 8 MHz channel, twin polarisations. Wuppertal, Germany
  • October 1992: TH-CSF LER, second generation field test and test bed with BBC, near London, UK
  • 1993: TH-CSF show in Montreux SW, 4 TV channel and one HDTV channel in a single 8 MHz channel
  • 1993: Morris: Experimental 150 Mbit/s OFDM wireless LAN
  • 1995: ETSI Digital Audio Broadcasting standard EUreka: first OFDM-based standard
  • 1997: ETSI DVB-T standard
  • 1998: Magic WAND project demonstrates OFDM modems for wireless LAN
  • 1999: IEEE 802.11a wireless LAN standard (Wi-Fi)[65]
  • 2000: Proprietary fixed wireless access (V-OFDM, FLASH-OFDM, etc.)
  • May 2001: The FCC allows OFDM in the 2.4 GHz license exempt band.[66]
  • 2002: IEEE 802.11g standard for wireless LAN[67]
  • 2004: IEEE 802.16 standard for wireless MAN (WiMAX)[68]
  • 2004: ETSI DVB-H standard
  • 2004: Candidate for IEEE 802.15.3a standard for wireless PAN (MB-OFDM)
  • 2004: Candidate for IEEE 802.11n standard for next generation wireless LAN
  • 2005: OFDMA is candidate for the 3GPP Long Term Evolution (LTE) air interface E-UTRA downlink.
  • 2007: The first complete LTE air interface implementation was demonstrated, including OFDM-MIMO, SC-FDMA and multi-user MIMO uplink[69]

See also

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References

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Further reading

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[edit]
Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Orthogonal frequency-division multiplexing (OFDM) is a multicarrier digital modulation technique that subdivides a high-speed into multiple lower-speed parallel streams, each modulated onto a distinct subcarrier chosen to be orthogonal to one another, thereby enabling efficient spectrum utilization and resistance to multipath interference in communication channels. This orthogonality ensures that subcarriers do not interfere with each other despite overlapping spectra, achieved through the use of inverse (IFFT) at the transmitter for modulation and (FFT) at the receiver for . The fundamental principle of OFDM relies on frequency-domain , where the of the product of any two distinct subcarrier sinusoids over one symbol period equals zero, preventing inter-carrier interference (ICI) and allowing simple single-tap equalization per subcarrier. Typically, subcarriers are modulated using schemes like (QAM) or (PSK), with cyclic prefixes added to combat inter-symbol interference (ISI) from channel dispersion. Key advantages include high , robustness against frequency-selective , and low-complexity implementation via discrete Fourier transforms, though it is sensitive to carrier frequency offsets and peak-to-average power ratio (PAPR) issues that can distort signals in nonlinear amplifiers. The origins of OFDM trace back to the mid-1960s, with Robert W. Chang proposing the multicarrier concept using orthogonal signals in 1966 while at Bell Labs, followed by practical implementation demonstrations by Martin S. Zimmerman and A. D. Kirsch in military VHF radio systems around the same period. A pivotal advancement came in 1971 when Stephen B. Weinstein and Paul M. Ebert introduced the use of the discrete Fourier transform (DFT) to efficiently generate and detect the orthogonal subcarriers, making OFDM computationally feasible for digital systems. Early deployments occurred in the 1960s for secure military communications, evolving through the 1980s and 1990s into civilian applications amid growing demand for high-data-rate wireless transmission. Today, OFDM forms the backbone of numerous modern communication standards, including IEEE 802.11a/g/n/ac/ax for wireless local area networks (), where it enables high-throughput data rates in multipath environments; 4G LTE and 5G New Radio (NR) for , supporting peak data rates exceeding 1 Gbps; and digital broadcasting systems like Digital Audio Broadcasting (DAB) and Digital Video Broadcasting - Terrestrial (). It is also integral to wireline technologies such as asymmetric digital subscriber line (ADSL) and power-line communications under IEEE 1901. Ongoing developments, including variants like filtered-OFDM and (OFDMA), continue to enhance its adaptability for emerging ultra-reliable low-latency and massive machine-type communications.

Overview

Definition and Core Concept

Orthogonal frequency-division multiplexing (OFDM) is a multicarrier modulation technique that divides a high-rate serial into multiple lower-rate parallel streams, with each stream independently modulated onto a distinct orthogonal subcarrier within the available bandwidth. This approach transforms a channel into several subchannels, each experiencing relatively flat . The core principle of OFDM relies on the of the subcarriers, which are spaced at intervals that ensure their time-domain waveforms are mathematically orthogonal over the symbol duration; this property allows the subcarrier spectra to overlap significantly without causing inter-carrier interference (ICI) during . In essence, orthogonality enables efficient spectrum utilization by permitting dense packing of subcarriers while maintaining separability at the receiver. A basic overview of the OFDM system structure includes the transmitter, which converts the input serial data to parallel form, modulates each parallel bit stream onto its respective subcarrier (typically using schemes like ), and combines these into a single time-domain OFDM symbol before adding a to mitigate . The receiver reverses this process by stripping the guard interval, extracting the individual subcarriers through their , demodulating the data on each, and reassembling the parallel streams into serial output for decoding. OFDM offers key advantages, including robustness to multipath fading—achieved by converting frequency-selective channel effects into manageable flat fading per subcarrier—and high from the overlapping subcarriers that maximize bandwidth usage without guard bands between them. A related wired variant is discrete multitone (DMT) modulation, which applies similar principles for asymmetric digital subscriber line (ADSL) systems. This technique underpins applications such as (IEEE 802.11 standards) and LTE cellular networks.

Historical Context and Evolution

The concept of orthogonal frequency-division multiplexing (OFDM) originated in the mid-1960s with Robert W. Chang's pioneering work at Bell Labs, where he proposed a multitone transmission system using orthogonal subcarriers to efficiently utilize bandwidth in linear channels limited by noise and intersymbol interference. This foundational idea, detailed in his 1966 paper "Synthesis of Band-Limited Orthogonal Signals for Multichannel Data Transmission," laid the groundwork for dividing data across multiple closely spaced subcarriers that could overlap without interference due to their orthogonality. Chang's approach addressed the challenges of high-rate data transmission over dispersive channels, marking the first formal description of what would evolve into OFDM. Advancements in the early 1970s focused on practical implementation, with Stephen B. Weinstein and Paul M. Ebert introducing the use of the (DFT) for efficient modulation and demodulation in their 1971 paper "Data Transmission by Using the ." This innovation reduced computational complexity, making multicarrier systems feasible for digital communications. By the late 1970s and early 1980s, further refinements addressed multipath effects; notably, Abraham Peled and Antonio Ruiz proposed the cyclic prefix in 1980 to mitigate through frequency-domain equalization with reduced complexity. Leonard J. Cimini's 1985 analysis extended OFDM to wireless environments, simulating its performance in mobile channels affected by multipath fading and demonstrating its robustness for high-data-rate applications. The 1990s saw OFDM's transition to commercialization, beginning with its adoption in broadcasting and wireline standards. The European Digital Audio Broadcasting (DAB) standard, ETSI EN 300 401, was published in 1994 and employed OFDM for robust mobile reception of digital audio signals. In 1995, the ANSI T1.413 standard for (ADSL) incorporated discrete multitone (DMT), an OFDM variant, to achieve high-speed data over twisted-pair copper lines. These milestones validated OFDM's practicality for real-world deployment. The 2000s and 2010s propelled OFDM into wireless standards, with IEEE 802.11a (ratified 1999) introducing OFDM for high-rate wireless LANs at 5 GHz, followed by 802.11g (2003) extending it to 2.4 GHz. Mobile WiMAX (IEEE 802.16e-2005) and LTE (3GPP Release 8, 2008) adopted (OFDMA), an extension of OFDM, for scalable broadband access. In the 2010s, New Radio (NR, 3GPP Release 15, 2018) integrated massive with CP-OFDM to enhance and support diverse services like enhanced . By 2025, OFDM remains central to evolution, while research explores adaptations for higher frequencies, including terahertz bands, with 3GPP's initial agreements in 2025 confirming CP-OFDM for downlink while investigating alternatives like OTFS for doubly-dispersive channels. These efforts aim to address increased and mobility challenges at sub-THz frequencies.

Principles of Operation

Orthogonality in

In orthogonal frequency-division multiplexing (OFDM), subcarrier refers to the property where different subcarriers do not interfere with each other at the receiver, despite their overlapping spectra in the . This is mathematically defined such that the of the product of two distinct subcarrier sinusoids over the symbol period TT equals zero: 0Tsm(t)sn(t)dt=0,mn\int_0^T s_m(t) s_n^*(t) \, dt = 0, \quad m \neq n where sm(t)s_m(t) and sn(t)s_n(t) are the mm-th and nn-th subcarrier signals, and the asterisk denotes the . This orthogonality arises from the periodic nature of the sinusoids, where positive and negative areas cancel out over the integration interval, ensuring no inter-carrier interference (ICI) when sampled at the correct times. The time-domain representation of each subcarrier, when modulated over the symbol duration TT, manifests as a in the , characterized by a and side lobes that extend infinitely. These sinc spectra overlap significantly between adjacent subcarriers, which would typically cause interference in non-orthogonal systems. However, the precise alignment of zero crossings in the sinc functions at the frequencies of other subcarriers preserves , allowing dense packing without . This overlap is key to OFDM's efficiency, as it utilizes the available bandwidth more fully than traditional , where guard bands prevent spectral intrusion. To maintain this orthogonality, subcarriers are spaced at intervals of Δf=1/T\Delta f = 1/T, where TT is the useful symbol duration, ensuring the frequencies are integer multiples of the fundamental spacing. This minimal separation maximizes by accommodating more subcarriers within a given bandwidth, enabling higher data rates while avoiding ICI under ideal conditions. In practice, the serves as an efficient computational tool to generate and detect these orthogonal subcarriers digitally. Orthogonality can degrade due to channel impairments, leading to ICI and performance loss. Doppler shifts, caused by relative motion between transmitter and receiver, introduce frequency offsets that misalign subcarrier frequencies, causing energy leakage to adjacent subcarriers; for instance, in mobile environments, even small shifts relative to the subcarrier spacing can significantly impair . Similarly, timing errors at the receiver, such as symbol misalignment, disrupt the integration window, resulting in partial correlation between subcarriers and increased bit error rates, particularly in multipath channels. Qualitatively, orthogonal subcarriers can be visualized as a set of evenly spaced sine waves whose product to zero over TT, contrasting with non-orthogonal carriers (e.g., arbitrarily spaced frequencies) where the yields a non-zero value, causing persistent interference. In a frequency-domain plot, orthogonal cases show sinc lobes crossing at nulls of neighbors, while non-orthogonal ones exhibit offsets leading to sidelobe overlap without cancellation.

FFT-Based Implementation

In orthogonal frequency-division multiplexing (OFDM) systems, the inverse fast Fourier transform (IFFT) is employed at the transmitter to efficiently convert a set of parallel frequency-domain symbols into a corresponding time-domain . This process modulates the data symbols onto orthogonal subcarriers by synthesizing the multicarrier signal through . Similarly, at the receiver, the (FFT) recovers the original frequency-domain data symbols from the sampled time-domain received signal, enabling while preserving among subcarriers. The use of IFFT and FFT for modulation and , respectively, was first proposed as a practical realization of using discrete Fourier transforms. The primary advantage of the FFT and IFFT lies in their reduced compared to direct of the (DFT). For a system with NN subcarriers, the DFT requires O(N2)O(N^2) complex multiplications, whereas the FFT algorithm achieves O(NlogN)O(N \log N) complexity, making real-time processing feasible for large NN in digital hardware. This efficiency is crucial for OFDM, as it allows the handling of hundreds or thousands of subcarriers without prohibitive computational demands. The choice of NN, the FFT/IFFT size, involves a between peak-to-average power ratio (PAPR) and system latency. Larger NN increases PAPR approximately linearly due to the superposition of more subcarriers, which can strain power amplifiers, but it also extends symbol duration, potentially reducing sensitivity to multipath while increasing processing latency in hardware implementations. Conversely, smaller NN lowers PAPR and latency but may limit . In practice, NN is selected based on bandwidth and standards requirements, often with to accommodate guard bands and prevent spectral . For instance, the IEEE 802.11a standard uses a 64-point FFT/IFFT, supporting 52 active subcarriers (48 for data and 4 pilots) within a 20 MHz channel, balancing efficiency and implementation constraints. This factor of 64/521.2364/52 \approx 1.23 aids in filtering and PAPR management without excessive complexity.

Guard Interval and Intersymbol Interference Mitigation

In orthogonal frequency-division multiplexing (OFDM) systems, (ISI) occurs when the multipath of the channel exceeds the duration of an OFDM , causing delayed components from one to overlap with the subsequent . To combat this, a cyclic prefix (CP), also known as a , is inserted at the beginning of each OFDM by copying a portion of the end of the useful and prepending it to the front. This CP absorbs the multipath echoes from the previous , preventing them from corrupting the current , provided the CP length is at least as long as the channel's maximum . The CP length is typically set to 1/4 or 1/8 of the useful symbol duration in practical systems, such as those defined in standards, balancing ISI mitigation against efficiency. By making the received symbol appear periodic, the CP transforms the linear between the channel and the transmitted signal into a , preserving subcarrier for frequency-domain processing. This mechanism incurs a throughput overhead, as the CP samples are discarded at the receiver; for instance, a 1/4-symbol CP reduces effective data rate by about 20%. Despite this penalty, the CP enables robust performance in dispersive channels with minimal receiver complexity. As an alternative guard interval, zero-padding appends null samples to the instead of a cyclic copy, which can also reduce ISI by providing separation between symbols. However, zero-padding does not support , resulting in higher computational demands for equalization and potential intercarrier interference compared to the CP.

Simplified Channel Equalization

In environments, the channel introduces -selective across the signal bandwidth, where different frequency components experience varying and phase shifts due to delayed replicas of the signal arriving at the receiver. This arises from the of the transmitted signal with the channel impulse response, leading to (ISI) and complicating signal recovery in systems. Orthogonal frequency-division multiplexing (OFDM) addresses this by dividing the wideband channel into multiple subcarriers, each of which experiences approximately flat fading under typical delay spreads shorter than the OFDM duration. Consequently, channel equalization in OFDM is greatly simplified, requiring only a single-tap multiplier per subcarrier in the , typically implemented as dividing the received subcarrier by the estimated channel HkH_k for the kk-th subcarrier: X^k=YkHk\hat{X}_k = \frac{Y_k}{H_k} where YkY_k is the received symbol and X^k\hat{X}_k is the equalized estimate. This approach leverages the orthogonality preserved by the discrete Fourier transform (DFT), converting the linear convolution into a circular one when a guard interval is employed. In contrast to single-carrier modulation schemes, which demand complex time-domain equalizers such as minimum mean square error decision feedback equalizers (MMSE-DFE) to combat ISI from multipath, OFDM's frequency-domain processing eliminates the need for such computationally intensive structures. The per-subcarrier flat fading model reduces equalization complexity from O(N2)O(N^2) operations (where NN is the symbol length) in time-domain methods to O(N)O(N) simple multiplications. To enable this equalization, the channel frequency response must be estimated at each subcarrier using pilot subcarriers—known symbols inserted periodically among data subcarriers. Common methods involve least-squares estimation at pilot positions followed by (e.g., linear, spline, or piecewise constant) to derive estimates for data subcarriers, ensuring accurate compensation even in varying channels. A key limitation of this simplified equalization occurs when the channel frequency response exhibits deep nulls, where Hk|H_k| approaches zero for certain subcarriers, amplifying and rendering equalization unreliable without additional techniques like adaptive bit or power loading.

Channel Coding, Interleaving, and Error Correction

In orthogonal frequency-division multiplexing (OFDM) systems, channel coding is employed to add to the prior to modulation, enabling the receiver to detect and correct errors introduced by and channel impairments. Convolutional codes, which use a and generator polynomials for encoding, are widely applied due to their simplicity and effectiveness in real-time processing. , combining two convolutional codes with an interleaver between them, offer near-Shannon-limit performance through iterative decoding. Low-density parity-check (LDPC) codes, based on sparse parity-check matrices and decoding, provide excellent error-correcting capability with low complexity for parallel implementation. These codes are typically inserted after but before the inverse (IFFT) at the transmitter. Interleaving is a critical step following channel encoding, where bits or symbols are rearranged in a predetermined to disperse consecutive errors. In OFDM, this shuffling converts burst errors—often resulting from prolonged deep fades in frequency-selective channels—into isolated errors across the codeword, which are more amenable to correction by the decoder. Bit interleaving permutes individual bits within a block, while symbol interleaving operates on higher-level modulated ; both approaches mitigate the impact of time-correlated on adjacent subcarriers. Convolutional or block interleavers are common, with the depth tailored to the expected burst length in the channel. The synergy between channel coding, interleaving, and OFDM's structure arises from the system's frequency diversity: subcarriers spaced across the bandwidth experience largely independent realizations, decorrelating error patterns and enhancing the effectiveness of error correction. This inherent multipath diversity transforms correlated channel errors into a more uniform distribution after de-interleaving and decoding, allowing codes to operate closer to their AWGN performance bounds even in severe environments. Without interleaving, burst errors could overwhelm decoders designed for random errors, but the combination leverages OFDM's parallel subchannels to distribute and mitigate impairments. A representative example is the Digital Video Broadcasting - Terrestrial () standard, which uses a concatenated coding scheme with an outer Reed-Solomon (RS) code of parameters RS(204,188,t=8) for block error correction and an inner punctured with rates of 1/2, 2/3, 3/4, 5/6, or 7/8. This is followed by a convolutional interleaver with variable depth (e.g., 12 blocks for the 1/2 rate) to spread errors from multipath-induced bursts, ensuring robust reception in mobile terrestrial scenarios. In contrast, the IEEE 802.11a/g standards employ a rate-1/2 (generator polynomials 133 and 171 in ) punctured to achieve rates of 2/3 or 3/4, paired with a block interleaver that first spreads bits across OFDM subcarriers (frequency interleaving) and then over multiple symbols (time interleaving) to exploit subcarrier diversity against indoor fading. Performance evaluations demonstrate that these integrated techniques substantially lower the bit error rate (BER) in challenging channels. In additive white Gaussian noise (AWGN), convolutional coding provides a coding gain of approximately 5 dB at BER=10^{-5} for rate-1/2 codes compared to uncoded transmission. In Rayleigh fading channels, which model severe multipath without line-of-sight, the BER improvement is more pronounced due to diversity gains, with coded OFDM achieving BER=10^{-5} at SNR levels 7-10 dB lower than uncoded systems, depending on interleaver depth and code rate. LDPC and turbo codes further enhance this, offering additional 1-2 dB gains in fading while maintaining low BER under bursty conditions.

Adaptive Bit and Power Loading

Adaptive bit and power loading in orthogonal frequency-division multiplexing (OFDM) systems dynamically allocates transmission resources across subcarriers to optimize performance in frequency-selective channels. This technique leverages per-subcarrier (SNR) estimates, obtained through simplified channel equalization, to adjust both the number of bits encoded on each subcarrier and the power assigned to it, ensuring reliable communication while maximizing . By tailoring modulation and power to varying channel conditions, these methods enhance overall system capacity without exceeding total power budgets or (BER) targets. The water-filling algorithm forms the foundation for power allocation, distributing available transmit power such that more energy is assigned to subcarriers with stronger channel gains (higher SNR), while weaker subcarriers receive less or none, akin to pouring water into vessels of different depths until the surface levels out. This approach, rooted in information-theoretic principles for parallel Gaussian channels, maximizes the or achievable rate under a total power constraint. In practice, it combats frequency-selective by concentrating power where it yields the highest benefit, approaching the Shannon capacity limit for multicarrier systems. Complementing power allocation, bit loading varies the modulation constellation size per subcarrier based on SNR margins to maintain a target BER, such as using QPSK (2 bits/symbol) on poor subcarriers and scaling up to 16-QAM (4 bits/symbol) or 64-QAM (6 bits/symbol) on favorable ones. A seminal practical implementation of combined bit and power loading appears in discrete multitone (DMT) modulation for (ADSL) systems, where a iteratively assigns bits and power to subcarriers in descending order of SNR efficiency, minimizing transmit power for a fixed rate or maximizing rate under power limits. Similarly, in IEEE 802.16 standards, bit-interleaved coded modulation (BICM) integrates with adaptive modulation and coding (AMC) schemes, enabling dynamic bit allocation across OFDM subchannels to support varying data rates and robustness in mobile environments. These techniques deliver significant benefits, including up to several-fold increases in throughput compared to loading—for instance, adaptive methods can boost rates by over % in constrained scenarios while adhering to BER requirements like 10^{-7}. They effectively mitigate the impact of frequency-selective by underloading or disabling deeply faded subcarriers, thereby improving reliability and efficiency in real-world deployments. However, implementation faces challenges, notably the overhead from acquiring and feeding back (CSI) to the transmitter, which can consume substantial bandwidth in fast- channels and reduce net throughput gains. Continuous tracking of time-varying channels also demands robust and low-latency algorithms to avoid performance degradation from outdated allocations.

Multiple Access Extensions (OFDMA)

(OFDMA) extends the single-user (OFDM) scheme to support multiple users by dynamically allocating subsets of subcarriers to different users or devices, enabling efficient sharing of the available spectrum. In OFDMA, subcarriers are grouped into resource blocks—typically consisting of 12 contiguous subcarriers over one slot (0.5 ms)—which serve as the basic units for allocation, allowing the to assign these blocks to users based on their channel conditions and requirements. This approach differs from traditional OFDM, which dedicates the entire set of subcarriers to a single user at a time, by incorporating time- and in the downlink, where the transmitter (e.g., ) schedules transmissions to multiple receivers simultaneously without overlap in assigned resources. In cellular systems like Long-Term Evolution (LTE), OFDMA is employed in the downlink to achieve high and support diverse traffic types, while the uplink utilizes a variant known as single-carrier (SC-FDMA) to address power efficiency concerns. SC-FDMA modifies OFDMA by pre-coding user data with a (DFT) before subcarrier mapping, which spreads the signal across the allocated subcarriers and results in a lower peak-to-average power ratio (PAPR) compared to pure OFDMA—typically 2-4 dB less—making it more suitable for battery-constrained mobile devices in the uplink. This choice in LTE standards balances multi-user access with practical transmitter requirements, as high PAPR in OFDMA can lead to inefficient power amplification and increased . Synchronization poses significant challenges in OFDMA systems, particularly in multi-user cellular environments where maintaining among users is essential to prevent inter-carrier interference. Timing alignment requires precise coordination of signal arrival times at the receiver to avoid inter-symbol interference, complicated by varying delays from mobile users at different distances; even small offsets (e.g., fractions of the OFDM symbol duration) can degrade performance. Frequency is equally critical, as carrier frequency offsets—arising from Doppler effects or drifts—must be minimized across users to preserve subcarrier , often necessitating advanced techniques like maximum-likelihood algorithms for joint timing and frequency correction. The primary benefits of OFDMA in cellular systems include enhanced flexible scheduling, where resource blocks can be adaptively assigned to optimize throughput and for individual users, and improved interference management through granular control over frequency allocations that mitigates in multi-cell deployments. This granularity supports scalability for high-density scenarios, such as urban mobile networks, by enabling proportional fairness in resource distribution and reducing latency through targeted transmissions. Adaptive bit and power loading can be applied across users to further exploit channel variations, enhancing overall capacity without detailed per-user derivations here.

Space-Time Diversity Techniques

Space-time diversity techniques integrate multiple-input multiple-output (MIMO) systems with orthogonal frequency-division multiplexing (OFDM) to leverage spatial dimensions for enhanced reliability and throughput in wireless channels. By deploying multiple antennas at the transmitter and receiver, these methods exploit independent fading paths across space, complementing the frequency-domain orthogonality of OFDM subcarriers. This synergy transforms frequency-selective fading into multiple parallel flat-fading subchannels per spatial path, enabling diversity gains that mitigate errors without sacrificing spectral efficiency. Space-time block coding (STBC) applies coding across both space and time dimensions to achieve transmit diversity in OFDM systems. The seminal Alamouti scheme, originally designed for flat-fading channels, encodes two symbols over two transmit antennas and two consecutive OFDM symbol periods, ensuring full diversity order of 2 while maintaining a code rate of 1. In OFDM, this is implemented by applying the Alamouti matrix to pairs of subcarriers or entire OFDM symbols, converting frequency-selective channels into equivalent flat-fading scenarios per subcarrier after FFT processing at the receiver. The receiver decodes using simple linear combining, such as maximal ratio combining, to recover symbols with improved . Early integration of Alamouti STBC with OFDM was proposed to combat multipath fading in broadband systems, demonstrating robust performance over frequency-selective channels. Spatial multiplexing extends MIMO-OFDM by transmitting independent data streams on multiple antennas, increasing capacity proportionally to the minimum of transmit and receive antennas in rich scattering environments. Unlike pure diversity schemes, spatial multiplexing layers data across spatial streams, with each stream modulated onto the OFDM subcarriers and separated at the receiver via zero-forcing or equalization. This approach achieves multiplexing gains while preserving OFDM's simplicity in handling , making it suitable for high-data-rate applications. In , the technique exploits the parallelism of subcarriers to apply spatial processing independently, balancing diversity and multiplexing based on channel conditions. The synergy between OFDM and MIMO is further enhanced through per-subcarrier precoding and , which tailor transmission to for each frequency tone. applies a matrix to the spatial streams before OFDM modulation, diagonalizing the effective channel per subcarrier to minimize interference and boost signal strength, often using . , a form of precoding, directs energy toward the receiver by weighting antenna signals, improving coverage in line-of-sight or correlated scenarios. These techniques operate on a per-subcarrier basis in , allowing adaptive adjustment to varying frequency responses while maintaining low-complexity FFT-based implementation. Linear precoding schemes for multiuser have been shown to optimize sum rates by jointly considering spatial and frequency domains. Practical implementations highlight the impact of these techniques. In IEEE 802.11n and 802.11ac standards, supports up to four and eight spatial streams, respectively, using STBC for diversity in poor channels and for high throughput, achieving data rates exceeding 600 Mbps and 3 Gbps on 20-160 MHz channels. Massive in networks extends this to dozens or hundreds of antennas with OFDM, employing precoding to serve multiple users simultaneously, as pioneered in foundational work on large-scale arrays. These examples demonstrate scalable spatial diversity in standards-based systems. Performance benefits include significant diversity gains that reduce outage probability in fading channels. STBC in MIMO-OFDM achieves full diversity order equal to the product of transmit antennas and the number of independently faded subcarriers, lowering bit error rates by up to 10 dB at 10^{-4} BER compared to single-antenna OFDM in Rayleigh fading. Spatial multiplexing trades some diversity for capacity but, when combined with precoding, maintains low outage via beamforming gains of several dB in correlated channels. Overall, these techniques improve reliability by 3-8 dB in frequency-selective fading, depending on antenna count, without increasing bandwidth. In multiuser scenarios, orthogonal frequency-division multiple access (OFDMA) briefly extends MIMO to allocate subcarriers across users for spatial multiplexing.

Linear Power Amplification Requirements

Orthogonal frequency-division multiplexing (OFDM) signals exhibit a high peak-to-average power ratio (PAPR), defined as the ratio of the peak instantaneous power to the average power of the transmitted signal, typically expressed in decibels (dB). For OFDM systems employing 64-QAM modulation, the PAPR often reaches 10-12 dB, depending on the number of subcarriers and oversampling factor. The large number of subcarriers generated by the inverse (IFFT) contributes to this elevated PAPR by allowing constructive superposition of signal components in the . This high PAPR necessitates the use of highly linear power amplifiers () to avoid driving the amplifier into its nonlinear region, where occurs. Nonlinear amplification leads to spectral regrowth, manifesting as emissions that violate regulatory spectral masks, and intercarrier interference (ICI), which degrades in-band signal quality and increases bit error rates. To maintain , the PA must operate with sufficient backoff from its saturation point, typically 10-12 dB for OFDM signals, ensuring but at the cost of reduced . Linear PAs, such as those in Class A configuration, are commonly employed to meet these requirements, but they suffer from low power-added efficiency (PAE), often less than 20% under backoff conditions needed for distortion-free OFDM transmission. This inefficiency arises because Class A amplifiers maintain constant bias current, leading to significant DC power dissipation even during low-signal periods. Various techniques address the PAPR challenge to relax demands and improve PA . Clipping limits peak signal amplitudes before amplification, reducing PAPR at the expense of increased noise and potential BER degradation if not combined with filtering. Coding-based methods, such as selected mapping (SLM), generate multiple candidate signals by applying phase rotations to the frequency-domain symbols and select the one with the lowest PAPR for transmission, achieving reductions of 2-4 dB with side information overhead. Predistortion techniques, including digital predistortion (DPD), preprocess the signal to compensate for PA nonlinearities, allowing operation closer to saturation while preserving and boosting by up to 20-30%. These methods trade off , bandwidth expansion, or error performance against PAPR gains. In practical standards, such as , tone reservation mitigates PAPR by iteratively adding a cancellation signal in reserved subcarriers to suppress time-domain peaks, achieving 2-3 dB reduction without data distortion or side information. This approach enables more efficient PA utilization in broadcast systems while complying with spectral emission limits.

System Model

Transmitter Structure

The OFDM transmitter processes an incoming serial bit through a series of stages to generate a robust multicarrier suitable for transmission over dispersive channels. The initial step involves serial-to-parallel conversion, where the bit stream is divided into N parallel branches, with N corresponding to the number of subcarriers in the OFDM symbol; this allows simultaneous modulation across multiple narrowband subchannels. Each parallel branch then undergoes constellation mapping, converting groups of bits into complex symbols using modulation schemes such as binary (BPSK), quadrature (QPSK), or higher-order quadrature amplitude modulation (QAM), like 16-QAM or 64-QAM, depending on the desired data rate and error tolerance. To facilitate channel estimation and phase tracking at the receiver, known pilot symbols are inserted into specific subcarrier positions within the parallel symbol stream; these pilots are modulated with fixed patterns and occupy a small fraction of the subcarriers, such as 4 out of 52 in IEEE 802.11a systems. The resulting frequency-domain symbol vector, comprising data and pilot symbols, is then input to an inverse fast Fourier transform (IFFT) processor, which performs an N-point IFFT to synthesize the time-domain OFDM symbol. This operation superimposes the symbols onto orthogonal subcarriers, producing a continuous waveform that maintains subcarrier orthogonality over the symbol duration. A cyclic prefix (CP) is subsequently appended to the IFFT output to combat from ; the CP consists of a repetition of the last L samples of the OFDM , where L is typically one-quarter to one-eighth of the length, creating a that absorbs delay spreads without affecting . The prefixed time-domain samples from multiple OFDM symbols are then subjected to parallel-to-serial conversion to form the complete signal stream. This stream is passed through a (DAC) to produce an analog signal, followed by low-pass filtering and upconversion to the (RF) carrier using a quadrature modulator for transmission. In advanced configurations, such as multiple-input multiple-output (MIMO) systems, precoding matrices may be applied to the frequency-domain symbols prior to IFFT to optimize spatial diversity and beamforming, enhancing performance in multipath environments. Additionally, the constellation mapping stage can incorporate adaptive bit and power loading, where subcarrier-specific modulation orders and power levels are adjusted based on channel state information to maximize throughput.

Receiver Structure

The OFDM receiver begins with downconversion of the received radio-frequency signal to , followed by analog-to-digital conversion to obtain discrete-time samples, and serial-to-parallel conversion to organize these samples into blocks corresponding to individual OFDM symbols. This process aligns the incoming serial stream with the symbol timing, preparing the data for frequency-domain processing. Next, the cyclic prefix (CP) is removed by discarding the guard interval samples at the start of each OFDM block, which mitigates provided the multipath is shorter than the CP length. The remaining N samples, where N is the number of subcarriers, form the core of the for subsequent transformation. The (FFT) is then applied to these N time-domain samples to recover the frequency-domain s on each subcarrier, exploiting the of the subcarriers to separate the multiplexed data streams with minimal intercarrier interference. This step converts the received signal into parallel frequency-domain representations, one per subcarrier. Channel estimation is performed using embedded pilot subcarriers, which carry known transmitted periodically across the frequency band, allowing the receiver to estimate the channel frequency response for each subcarrier. These estimates enable one-tap equalization, where the received frequency-domain on each subcarrier is divided by the estimated channel gain to compensate for flat-fading effects, simplifying the equalization process compared to time-domain methods. Finally, the equalized frequency-domain symbols undergo parallel-to-serial conversion to form a serial stream, followed by demapping to recover the modulated constellation points (e.g., via QPSK or ) and subsequent decoding to extract the original bit stream, often incorporating error correction if channel coding is employed upstream.

Mathematical Formulation

Signal Representation and Modulation

In (OFDM), the transmitted signal is fundamentally represented in the by a sequence of complex-valued XkX_k, where k=0,1,,N1k = 0, 1, \dots, N-1 and NN denotes the number of subcarriers. Each XkX_k typically carries data modulated using (QAM), such as 16-QAM or 64-QAM, allowing multiple bits per to achieve high . The subcarriers are closely spaced to maximize bandwidth utilization while maintaining over the symbol duration. The corresponding time-domain transmit signal s(t)s(t) for a single OFDM symbol is obtained via the inverse discrete Fourier transform (IDFT) of the frequency-domain symbols: s(t)=k=0N1Xkexp(j2πkΔft),0t<Ts(t) = \sum_{k=0}^{N-1} X_k \exp\left( j 2\pi k \Delta f \, t \right), \quad 0 \leq t < T Here, TT is the useful symbol duration, and Δf=1/T\Delta f = 1/T is the subcarrier spacing, ensuring the subcarriers are orthogonal within the symbol interval. This formulation confines the signal energy to the interval [0,T)[0, T), with the overall transmission bandwidth approximately equal to NΔfN \Delta f, though practical implementations apply spectral shaping, such as raised-cosine filtering, to reduce out-of-band emissions. For continuous data transmission, multiple OFDM symbols are concatenated, with each subsequent symbol repeating the above process using new data symbols XkX_k. To mitigate inter-symbol interference in real systems, a guard interval—often a cyclic prefix—is inserted between symbols, extending the total symbol period to Tg+TT_g + T, where TgT_g is the guard duration. The fast Fourier transform (FFT) provides an efficient computational method for implementing the IDFT at the transmitter and the DFT at the receiver. The resulting time-domain waveform exhibits a high peak-to-average power ratio due to the superposition of subcarriers, influencing amplifier design considerations.

Orthogonality Conditions and Derivations

The orthogonality of subcarriers in ensures that interference between them is minimized, allowing efficient spectrum utilization without guard bands. Consider two subcarriers modulated by complex symbols XkX_k and XmX_m, with basis functions exp(j2πkΔft)\exp(j 2\pi k \Delta f t) and exp(j2πmΔft)\exp(j 2\pi m \Delta f t) over the symbol duration TT. The orthogonality condition requires that the integral of their product over one symbol period vanishes for kmk \neq m: 0Texp(j2π(km)Δft)dt=0.\int_0^T \exp\left(j 2\pi (k - m) \Delta f t\right) dt = 0. This holds when the subcarrier spacing is chosen as Δf=1/T\Delta f = 1/T, as the integral simplifies to Tsinc((km))T \cdot \mathrm{sinc}((k - m)), where sinc(x)=sin(πx)/(πx)\mathrm{sinc}(x) = \sin(\pi x)/(\pi x) and equals zero at integer values km1|k - m| \geq 1. To derive this using the sinc function, substitute Δf=1/T\Delta f = 1/T: 0Texp(j2π(km)t/T)dt=Tsin(π(km))π(km)=Tsinc(km).\int_0^T \exp\left(j 2\pi (k - m) t / T\right) dt = T \cdot \frac{\sin(\pi (k - m))}{\pi (k - m)} = T \cdot \mathrm{sinc}(k - m). The nulls of the sinc function occur precisely at integer multiples away from zero, confirming orthogonality and enabling perfect recovery of each subcarrier via the discrete Fourier transform at the receiver, assuming ideal synchronization. Impairments such as carrier frequency offset and phase noise disrupt this orthogonality, leading to intercarrier interference (ICI). A normalized carrier frequency offset ϵ\epsilon (where ϵ=Δfc/Δf\epsilon = \Delta f_c / \Delta f, with Δfc\Delta f_c the offset) rotates the subcarriers, causing the received signal on subcarrier kk to include contributions from all others. The ICI coefficient from subcarrier mm to kk is approximately sin(π(km+ϵ))π(km+ϵ)exp(jπ(km+ϵ))\frac{\sin(\pi (k - m + \epsilon))}{\pi (k - m + \epsilon)} \exp(j \pi (k - m + \epsilon)) for small ϵ\epsilon. For small offsets, the signal attenuation is sinc(ϵ)21(πϵ)2/3|\mathrm{sinc}(\epsilon)|^2 \approx 1 - (\pi \epsilon)^2 / 3, while the ICI power is approximately (πϵ)2/3(\pi \epsilon)^2 / 3, resulting in a signal-to-interference ratio (SIR) 3/(πϵ)2\approx 3 / (\pi \epsilon)^2. Phase noise, modeled as a Wiener process, similarly induces time-varying offsets, exacerbating ICI with variance proportional to the noise linewidth. Timing offsets also degrade orthogonality by introducing subcarrier-specific distortions. A timing offset θ\theta (normalized to the sampling period) within the cyclic prefix causes a phase shift ej2πkΔfθe^{j 2\pi k \Delta f \theta} on subcarrier kk and a common amplitude scaling across all subcarriers, without ICI if θ\theta is less than the prefix length. For offsets exceeding the prefix, intersymbol interference arises alongside phase rotations, leading to amplitude variations that depend on the channel response. Sensitivity analysis reveals BER degradation thresholds tied to these impairments. For uncoded QPSK OFDM with 10^{-3} target BER, a frequency offset exceeding 4% of the subcarrier spacing causes over 1 dB SNR loss due to ICI, while phase noise with 0.5% RMS offset (relative to Δf\Delta f) induces similar degradation. Timing offsets up to 10% of the symbol duration typically limit phase-induced BER floor to below 10^{-4} in AWGN, but multipath channels amplify sensitivity, necessitating offsets below 5% for negligible impact. These thresholds underscore the need for precise synchronization in practical OFDM deployments.

Frequency-Domain Channel Effects

In orthogonal frequency-division multiplexing (OFDM) systems, the channel's frequency-domain effects are modeled per subcarrier, simplifying processing compared to time-domain approaches. The received signal on the k-th subcarrier is given by Yk=HkXk+Nk,Y_k = H_k X_k + N_k, where XkX_k is the transmitted data symbol, HkH_k is the complex channel gain for that subcarrier, and NkN_k is additive white Gaussian noise with zero mean and variance σ2\sigma^2. This model assumes that the channel impulse response is shorter than the cyclic prefix (CP) length, ensuring each subcarrier experiences approximately flat fading. The CP plays a crucial role in transforming the channel's linear convolution with the transmitted OFDM symbol into a circular convolution. At the receiver, applying the fast Fourier transform (FFT) to the CP-discarded signal thus yields the frequency-domain multiplication form Yk=HkXk+NkY_k = H_k X_k + N_k, enabling straightforward per-subcarrier processing without inter-symbol interference (ISI) from multipath delays up to the CP duration. To recover HkH_k, channel estimation typically relies on known pilot symbols inserted among data subcarriers. A simple least-squares (LS) estimator computes H^k=Yk/Xk\hat{H}_k = Y_k / X_k at pilot locations, assuming perfect knowledge of XkX_k; interpolation (e.g., linear or spline) then estimates HkH_k for data subcarriers. This approach is computationally efficient but sensitive to noise, with mean-squared error scaling as σ2/Xk2\sigma^2 / |X_k|^2. For improved accuracy, low-rank approximations via can reduce estimation error in correlated channels. Channel delay spread and Doppler spread significantly influence OFDM performance. Delay spread determines the coherence bandwidth Bc1/τrmsB_c \approx 1 / \tau_{rms}, where τrms\tau_{rms} is the root-mean-square delay spread; subcarrier spacing Δf\Delta f must satisfy Δf<Bc\Delta f < B_c to maintain flat fading per subcarrier, preventing severe frequency selectivity within each narrowband channel. Similarly, Doppler spread fdf_d defines coherence time Tc1/fdT_c \approx 1 / f_d; if the OFDM symbol duration exceeds TcT_c, time-varying fading induces inter-carrier interference (ICI) by disrupting subcarrier orthogonality across the symbol. In mobile environments, fdf_d up to several hundred Hz can degrade signal-to-interference ratios by 1-3 dB at velocities around 100 km/h. Once H^k\hat{H}_k is obtained, frequency-domain equalization compensates for HkH_k. Zero-forcing (ZF) equalization inverts the channel via X^k=Yk/H^k\hat{X}_k = Y_k / \hat{H}_k, fully eliminating distortion but amplifying noise in deep fades where H^k|\hat{H}_k| is small. Minimum mean-square error (MMSE) equalization balances distortion and noise minimization, yielding X^k=H^kH^k2+σ2/EsYk,\hat{X}_k = \frac{\hat{H}_k^*}{|\hat{H}_k|^2 + \sigma^2 / E_s} Y_k, where EsE_s is the symbol energy and ^* denotes complex conjugate; this provides 1-2 dB SNR gain over ZF in fading channels with SNR around 20 dB. Both are one-tap operations per subcarrier, leveraging the flat-fading assumption.

Performance Characteristics

Advantages Over Single-Carrier Systems

Orthogonal frequency-division multiplexing (OFDM) exhibits significant robustness to inter-symbol interference (ISI) in multipath environments compared to single-carrier systems. In single-carrier modulation, high-rate symbol transmission over frequency-selective channels leads to substantial ISI due to the channel's delay spread, necessitating complex time-domain equalization to mitigate distortions across the entire bandwidth. In contrast, OFDM divides the data stream into multiple low-rate parallel subcarriers, each experiencing a relatively flat-fading channel over its narrow bandwidth. This subdivision ensures that ISI is confined to a limited number of adjacent subcarriers, which can be effectively prevented by inserting a cyclic prefix longer than the maximum channel delay spread. For instance, in standards like LTE and IEEE 802.11, the cyclic prefix is often set to about one-quarter of the OFDM symbol duration, allowing reliable operation in highly dispersive channels without significant loss in performance. Another key benefit of OFDM is its superior spectral efficiency relative to traditional single-carrier or non-orthogonal frequency-division multiplexing (FDM) schemes. Single-carrier systems require guard bands between channels to avoid interference, resulting in underutilized spectrum. OFDM, however, employs orthogonal subcarriers that overlap in frequency while maintaining mutual orthogonality, enabling full spectral occupancy without inter-carrier interference. This overlap allows OFDM to achieve higher data rates within the same bandwidth, making it particularly advantageous for bandwidth-constrained applications. Seminal work on DFT-based FDM demonstrated that this orthogonality preserves signal integrity across overlapping carriers, supporting efficient multiplexing for data transmission. OFDM simplifies equalization compared to single-carrier approaches, where multi-tap time-domain filters are needed to counteract channel distortions, increasing computational complexity especially at high data rates. In OFDM, the receiver performs a discrete Fourier transform to convert the received signal to the frequency domain, enabling simple one-tap multiplication per subcarrier to equalize the channel effect. This frequency-domain processing leverages the fast Fourier transform (FFT) for efficiency, avoiding the need for equalizer training sequences common in single-carrier systems. The result is lower receiver complexity, which scales well with increasing subcarrier counts. The modular structure of OFDM also facilitates scalability with advanced techniques like multiple-input multiple-output (MIMO) and error-correcting coding, outperforming single-carrier systems in diverse environments. By treating each subcarrier independently, MIMO can be applied across spatial streams on a per-subcarrier basis, converting frequency-selective fading into parallel flat-fading MIMO channels and simplifying receiver design. Similarly, coding schemes such as convolutional or LDPC codes can be integrated across subcarriers or OFDM symbols, enhancing reliability without complicating the core modulation. In Rayleigh fading channels, these features enable OFDM to maintain or exceed the data rates of single-carrier systems under severe multipath conditions, often achieving higher overall throughput by better exploiting channel diversity.

Disadvantages and Mitigation Strategies

One of the primary disadvantages of orthogonal frequency-division multiplexing (OFDM) is its high peak-to-average power ratio (PAPR), which arises from the superposition of multiple subcarriers, leading to occasional large signal peaks that require power amplifiers to operate with significant backoff to avoid distortion, thereby reducing efficiency and increasing power consumption. To mitigate this, techniques such as signal clipping limit peak amplitudes at the cost of introducing some distortion, while active constellation extension (ACE) expands the modulation constellation to reduce peaks without excessive out-of-band emissions. Selected mapping (SLM) generates multiple candidate signals by rotating subcarrier phases and selects the one with the lowest PAPR for transmission, offering effective reduction with moderate computational overhead. OFDM systems are highly sensitive to carrier frequency offsets (CFO) and timing offsets, which disrupt subcarrier orthogonality and cause inter-carrier interference (ICI), degrading bit error rates even at small offset values on the order of 1% of the subcarrier spacing. Mitigation strategies include the use of robust preambles for accurate synchronization at the receiver, as well as ICI self-cancellation coding schemes that preprocess data to counteract offset-induced interference without requiring precise estimation. Adaptive filtering approaches further suppress residual ICI by estimating and subtracting interference components in the frequency domain. Out-of-band (OOB) emissions in OFDM stem from the rectangular pulse shaping and nonlinear amplifier operation, resulting in high sidelobes that can interfere with adjacent channels and violate spectral masks. These emissions are exacerbated by PAPR-induced clipping, necessitating strict filtering requirements that reduce spectral efficiency. Common mitigations involve windowing the OFDM symbol to smooth transitions and suppress sidelobes, or precoding the signal to shape the spectrum while preserving data integrity. Peak rate variability in OFDM occurs due to uneven subcarrier loading, where frequency-selective fading leads to differing signal-to-noise ratios across subcarriers, causing fluctuations in overall throughput as adaptive modulation schemes assign varying bits per subcarrier. This variability complicates quality-of-service guarantees in dynamic channels, though it can be partially addressed by water-filling power allocation to optimize rate distribution. Additional strategies for OFDM limitations include tone nulling, where specific subcarriers are disabled or nulled to avoid interference with legacy systems or narrowband signals, trading minimal capacity loss for improved coexistence. Hybrid approaches combining OFDM with single-carrier frequency-domain equalization (SC-FDE) leverage the latter's lower PAPR and robustness to offsets in scenarios requiring high efficiency, such as underwater or powerline communications.

Efficiency Metrics and Comparisons

Orthogonal frequency-division multiplexing (OFDM) achieves spectral efficiency close to that of single-carrier modulation on each subcarrier, approximately log2(M)\log_2(M) bits/s/Hz for M-ary modulation schemes such as QPSK (M=4M=4, 2 bits/s/Hz) or 64-QAM (M=64M=64, 6 bits/s/Hz), but the insertion of the cyclic prefix (CP) introduces overhead that reduces overall efficiency. Typical CP lengths in standards like LTE and range from 1/16 to 1/4 of the symbol duration, resulting in 75-94% spectral efficiency; for example, a 1/8 CP overhead yields about 88.9% efficiency, allowing effective rates of 1.78 bits/s/Hz for QPSK. This overhead is necessary to combat inter-symbol interference in multipath channels but limits bandwidth utilization compared to CP-free variants like TDS-OFDM, which can approach 100% efficiency at the cost of increased receiver complexity. Power efficiency in OFDM is impacted by its high peak-to-average power ratio (PAPR), typically 8-12 dB for 64 subcarriers with QPSK, necessitating power amplifier backoff to avoid nonlinear distortion and reducing amplifier efficiency (PAE) by 2-3 dB relative to single-carrier systems, which exhibit PAPR around 3 dB. This loss arises because OFDM signals require linear amplification over a wider dynamic range, leading to lower average transmit power for the same peak constraints; for instance, in nonlinear channels, OFDM may operate 2.5 dB below single-carrier to maintain comparable bit error rates (BER). Mitigation techniques like clipping or precoding can recover 1-2 dB, but the inherent PAPR disadvantage persists without adaptive power allocation. In dispersive channels, OFDM demonstrates superior throughput compared to single-carrier modulation due to its inherent frequency-domain equalization, achieving higher effective data rates at given signal-to-noise ratios (SNR). Simulations show comparable BER performance between OFDM and SC-FDE in dispersive channels, with differences typically within 1-2 dB depending on the equalization method used. Representative BER vs. SNR performance indicates OFDM achieves reliable operation in highly dispersive environments comparable to advanced single-carrier systems. Compared to code-division multiple access (CDMA), OFDM offers better multipath handling through subcarrier orthogonality and CP absorption of delays up to the prefix length, yielding 3-5 dB SNR gains in BER for frequency-selective fading channels with 6-8 paths. However, OFDM's higher PAPR (10 dB vs. 4-6 dB for DS-CDMA) increases peak power demands, potentially raising interference in multi-user scenarios despite CDMA's spreading losses. In practice, OFDM-CDMA hybrids balance these by combining spreading for multiple access with multicarrier resilience. In 5G NR contexts, OFDM's energy efficiency is quantified by the energy per bit to noise power spectral density ratio (Eb/N0), where massive MIMO configurations achieve Eb/N0 as low as 5-7 dB for 10% outage BER of 10510^{-5} at 4 bits/s/Hz spectral efficiency, outperforming 4G LTE by 20-30% through reduced overhead and beamforming. This enables energy-efficient operation in URLLC scenarios, with overall system energy per bit improved by adaptive numerology selecting shorter CP for low-mobility users.

Applications

Wired Communications (DMT and ADSL)

Discrete multitone (DMT) modulation represents a specialized variant of orthogonal frequency-division multiplexing (OFDM) tailored for wired digital subscriber line (DSL) technologies, particularly asymmetric DSL (ADSL). In ADSL systems, DMT divides the available bandwidth into multiple subcarriers, with downstream transmission utilizing 256 subcarriers spaced at 4.3125 kHz intervals to accommodate the twisted-pair copper lines used in telephone networks. This approach allows for efficient spectrum utilization while mitigating the effects of channel impairments inherent to fixed-line infrastructure. The standardization of DMT-based ADSL was established by the American National Standards Institute (ANSI) in T1.413-1995, which specified adaptive bit loading on a per-tone basis to dynamically allocate bits according to the signal-to-noise ratio (SNR) across subcarriers, optimizing performance against twisted-pair noise such as attenuation and crosstalk. This bit-loading mechanism enables ADSL to achieve downstream rates of up to 8 Mbps under typical conditions, while upstream rates reach about 1 Mbps, with robust handling of crosstalk through SNR-based adaptation and impulse noise via forward error correction (FEC) and interleaving techniques. Guard intervals in DMT are adapted to support echo cancellation in full-duplex configurations, ensuring separation of upstream and downstream signals. ADSL's evolution extended to very-high-bit-rate DSL (VDSL) and its successor VDSL2, standardized by the International Telecommunication Union (ITU-T) as G.993.2 in 2006, which employs DMT with bandwidths up to 30 MHz to deliver higher speeds over shorter loop lengths. Unlike wireless OFDM applications, DMT in wired DSL prioritizes combating fixed-line challenges like distance-dependent attenuation and near-end/far-end crosstalk, without considerations for mobility or multipath fading.

Powerline and Broadband over Power Lines

Orthogonal frequency-division multiplexing (OFDM) has been adapted for powerline communications (PLC) to enable high-speed data transmission over existing electrical wiring, addressing the inherent challenges of noisy and attenuative channels in power distribution networks. Early standards like HomePlug 1.0, released in 2001 by the HomePlug Powerline Alliance, employed OFDM with 84 subcarriers spaced at approximately 195 kHz across the 4.5–21 MHz band to mitigate frequency-selective fading and multipath effects common in indoor powerlines. This approach divides the channel into narrow subchannels, allowing individual modulation from binary phase-shift keying (BPSK) to , which helps maintain reliability despite varying signal attenuation that increases rapidly with frequency. Powerline channels are characterized by significant challenges, including high attenuation—often exceeding 100 dB over short distances due to wire branching and load impedances—and impulsive noise from switching appliances like motors and dimmers, which can introduce bursts of interference lasting milliseconds. To counter these, HomePlug 1.0 incorporated robust modes using rate-1/2 convolutional coding with a constraint length of 7, providing forward error correction that reduces bit error rates in noisy environments by introducing redundancy before modulation. Later evolutions, such as HomePlug AV (2007), expanded to 917 active subcarriers out of 1155 in the 2–28 MHz range, achieving physical layer rates up to 200 Mbps through higher-order modulations up to 256-QAM and turbo convolutional coding for enhanced error resilience. The ITU-T G.hn standard (2009), designed for broadband home networking over powerlines, further advanced this with windowed supporting up to 4096 subcarriers and low-density parity-check () codes alongside turbo coding, delivering practical throughputs exceeding 200 Mbps in typical residential setups while adapting to channel variations. A key feature in PLC OFDM systems is frequency notching, which selectively disables subcarriers in specific bands to prevent electromagnetic interference with licensed radio services, such as amateur radio allocations around 3.5–4 MHz and 7–30 MHz. This technique, mandated in standards like and ITU-T G.9901, ensures compliance with emission limits by nulling up to 10% of subcarriers without severely impacting overall data rates, as notched frequencies are avoided during transmission planning. Compared to digital subscriber line (DSL) technologies, PLC encounters higher noise floors—often 20–40 dB above thermal noise due to synchronous and asynchronous impulses—but offers the advantage of utilizing ubiquitous power cabling without requiring dedicated infrastructure installation. Adaptive bit loading on subcarriers further optimizes performance by allocating more bits to stronger channels amid fluctuating line conditions.

Wireless Local and Metropolitan Area Networks

Orthogonal frequency-division multiplexing (OFDM) forms the foundational modulation scheme for wireless local area networks (WLANs) under the IEEE 802.11 standards, enabling high-speed data transmission in short-range environments such as homes, offices, and campuses. Introduced in the IEEE 802.11a standard ratified in 1999, OFDM addressed the challenges of multipath propagation in indoor settings by dividing the signal into multiple narrowband subcarriers, each robust against frequency-selective fading. This approach allowed for reliable performance in environments with reflections from walls and furniture, contrasting with earlier single-carrier methods that suffered from intersymbol interference. In Wi-Fi standards from 802.11a through 802.11ax (Wi-Fi 6), OFDM operates within a 20 MHz channel using 52 subcarriers—48 for data and 4 for pilots—to achieve data rates up to 54 Mbps in the initial 802.11a and 802.11g implementations. The 802.11g extension in 2003 adapted this OFDM PHY to the 2.4 GHz band for backward compatibility with 802.11b, maintaining the same subcarrier structure while supporting rates of 6 to 54 Mbps via modulation schemes including BPSK, QPSK, 16-QAM, and 64-QAM. Subsequent evolutions in 802.11n (2009) and 802.11ac (2013) retained OFDM as the core, adding multiple-input multiple-output (MIMO) techniques and wider channels up to 160 MHz, while 802.11ax introduced orthogonal frequency-division multiple access (OFDMA) for multi-user efficiency, increasing subcarriers to 234 in a 20 MHz channel for better resource allocation in dense deployments. Key enhancements across these standards include low-density parity-check (LDPC) coding for improved error correction, particularly effective with 64-QAM modulation to boost spectral efficiency. For multipath handling in indoor and outdoor WLAN scenarios, OFDM employs a cyclic prefix (CP) to absorb delayed echoes, with 802.11a specifying a 0.8 μs CP duration that accommodates delay spreads up to 240 meters, preventing intersymbol interference without significantly reducing throughput. This feature proves essential for non-line-of-sight propagation in metropolitan area networks, where signals reflect off buildings or vehicles. Wi-Fi 6, released in 2019, achieves theoretical peak throughputs of up to 9.6 Gbps through 1024-QAM, 8x8 MIMO, and OFDMA across 160 MHz channels, enabling gigabit speeds for applications like high-definition streaming in crowded venues. WiMAX, governed by IEEE 802.16 standards, extends OFDM to metropolitan area networks (WMANs) for broader coverage up to several kilometers, using scalable OFDMA to support variable bandwidths from 1.25 MHz to 20 MHz with FFT sizes up to 2048 subcarriers. The 802.16e amendment (2005) introduced mobile profiles with beamforming to enhance signal directivity and mitigate interference in urban deployments, alongside 64-QAM modulation and optional LDPC coding for rates up to 144 Mbps in 20 MHz channels. These elements make WiMAX suitable for fixed and nomadic access in suburban or rural areas, where OFDM's multipath resilience supports robust connectivity over longer distances than typical WLANs. As of 2025, Wi-Fi 7 (IEEE 802.11be), approved in September 2024 and published in July 2025, further advances by supporting 320 MHz channels in the 6 GHz band, doubling bandwidth from Wi-Fi 6 to enable multi-gigabit throughputs exceeding 20 Gbps in low-latency scenarios like augmented reality. This enhancement, combined with enhanced OFDMA and multiple resource unit allocations, optimizes performance for dense metropolitan networks while preserving 's core advantages in interference-prone environments.

Terrestrial Broadcasting (DVB-T and ISDB)

Orthogonal frequency-division multiplexing (OFDM) plays a central role in terrestrial digital broadcasting standards such as and ISDB-T, enabling robust transmission of high-definition television signals over the air in the presence of multipath interference and Doppler shifts common in mobile reception scenarios. These standards leverage coded OFDM (COFDM), which incorporates forward error correction to enhance reliability, allowing for efficient spectrum use in single-frequency networks (SFNs) where multiple transmitters operate synchronously on the same frequency without causing inter-carrier interference (ICI). , standardized by the European Telecommunications Standards Institute (ETSI) in 1997, and ISDB-T, adopted in Japan by the Association of Radio Industries and Businesses (ARIB) in 2003, both prioritize hierarchical modulation and flexible guard intervals to support fixed, portable, and mobile viewing. The DVB-T system employs COFDM with two primary modes: 2K (1705 subcarriers) for single-frequency operation and 8K (6817 subcarriers) suited for both single-transmitter and large SFNs, providing enhanced robustness for mobile reception through its tolerance to multipath delays. Channel coding in DVB-T consists of an outer Reed-Solomon (204,188) code for burst error correction and an inner punctured convolutional code with rates ranging from 1/2 to 7/8, combined with convolutional interleaving to combat impulsive noise. Guard intervals are configurable as fractions of the useful symbol duration (1/32, 1/16, 1/8, or 1/4), allowing adaptation to channel delay spreads up to several hundred microseconds while minimizing overhead. This structure supports modulation schemes up to 64-QAM, enabling data rates of approximately 30 Mbps in an 8 MHz channel under optimal conditions (e.g., 8K mode, 64-QAM, code rate 5/6, guard interval 1/32). ISDB-T utilizes band-segmented transmission OFDM (BST-OFDM), dividing the channel into 13 time-domain segments for flexible layered transmission, where up to three hierarchical layers can be allocated different modulation and coding schemes to serve diverse receiver capabilities, such as high-data-rate fixed reception alongside low-rate mobile services. Each segment comprises 576 subcarriers, with the full 13 segments spanning a 6 MHz channel in Japan but adaptable to 8 MHz bandwidths internationally; time interleaving within segments (0.5–3 seconds) further improves performance against fading. Like , ISDB-T employs COFDM with Reed-Solomon outer coding (204,188) and convolutional inner coding (rates 1/2 to 7/8), alongside guard intervals of 1/32, 1/16, 1/8, or 1/4 of the symbol period. Modulation options include DQPSK, QPSK, 16-QAM, and 64-QAM, supporting layered bitrates up to around 28 Mbps in an 8 MHz configuration for full-segment 64-QAM transmission. Both standards facilitate SFNs by exploiting OFDM's orthogonality, where synchronous transmitters contribute constructively to the signal if their relative delays fall within the guard interval, avoiding ICI and enabling efficient frequency reuse across large areas without self-interference. In performance comparisons, DVB-T's COFDM demonstrates superior multipath resilience over ATSC's 8-VSB modulation, achieving reliable mobile reception at lower carrier-to-noise ratios (e.g., 19–22 dB for quasi-error-free operation in Rayleigh fading) while delivering higher spectral efficiency in wider channels—up to 3.75 bits/s/Hz with 64-QAM versus ATSC's 3.24 bits/s/Hz in 6 MHz. This makes OFDM-based systems like DVB-T and ISDB-T particularly advantageous for dense urban and vehicular environments, where 8-VSB struggles with dynamic echoes.

Cellular and Mobile Networks (LTE and 5G NR)

Orthogonal frequency-division multiplexing (OFDM) forms the foundation of the physical layer in Long-Term Evolution (LTE), standardized by in 2008 as Release 8. The downlink employs orthogonal frequency-division multiple access (OFDMA), utilizing 15 kHz subcarrier spacing to enable efficient multi-user resource allocation across frequency bands, supporting bandwidths from 1.4 MHz to 20 MHz. This structure divides the available spectrum into resource blocks of 12 subcarriers, allowing dynamic scheduling to mitigate frequency-selective fading in mobile environments. In contrast, the uplink adopts single-carrier frequency-division multiple access (SC-FDMA), a variant of OFDM that applies a discrete Fourier transform prior to subcarrier mapping, primarily to reduce the peak-to-average power ratio (PAPR) by approximately 2-3 dB compared to pure OFDMA, thereby improving power efficiency and extending battery life for user equipment..pdf) Building on LTE, 5G New Radio (NR), introduced in 3GPP Release 15 in 2018, enhances OFDM with greater flexibility to support diverse services in high-mobility scenarios. It introduces scalable numerology, where subcarrier spacing ranges from 15 kHz to 120 kHz (and up to 240 kHz in later releases), enabling adaptation to varying latency and bandwidth needs across frequency ranges from sub-6 GHz to millimeter waves. Cyclic prefix OFDM (CP-OFDM) is employed for both downlink and uplink, replacing SC-FDMA on the uplink to simplify implementation while maintaining robustness against inter-symbol interference through a configurable cyclic prefix length. This unified waveform supports mini-slots and flexible slot formats, allowing for low-latency operations in ultra-reliable low-latency communication (URLLC) modes with shorter symbol durations enabled by larger subcarrier spacings. OFDM in 5G NR integrates seamlessly with massive multiple-input multiple-output (MIMO) systems, supporting up to 256 antennas at base stations to boost spectral efficiency and coverage in dense urban deployments. Beamforming is applied across groups of subcarriers, typically resource block groups, to direct signals toward users and combat path loss, achieving up to 20-30% higher throughput than LTE in multi-user scenarios. Peak data rates reach up to 20 Gbps in enhanced mobile broadband (eMBB) configurations, leveraging wide bandwidths and high-order modulation, while URLLC achieves sub-millisecond latency through shortened symbols and puncturing mechanisms. As of 2025, 5G-Advanced (3GPP Releases 18-19) introduces enhancements to OFDM for sub-terahertz bands above 100 GHz, including wider subcarrier spacings up to 480 kHz and improved synchronization to handle extreme propagation delays, enabling terabit-per-second links for backhaul and fixed wireless access. Research toward 6G, ongoing in 3GPP pre-standardization efforts, explores evolutions of OFDM waveforms, such as affine frequency-division multiplexing variants, to address integrated sensing and communication in beyond-100 GHz regimes while maintaining backward compatibility with 5G NR.

Other Specialized Uses (UWB and Satellite)

Orthogonal frequency-division multiplexing (OFDM) finds specialized application in ultra-wideband (UWB) communications through the multiband OFDM (MB-OFDM) scheme defined in the ECMA-368 standard, ratified in December 2005. This approach divides the UWB spectrum from 3.1 to 10.6 GHz into 14 channels, each with a 528 MHz bandwidth, grouped into four band groups of three contiguous bands for operation, enabling high data rates up to 480 Mbps while maintaining low power consumption. Frequency hopping across the three bands within a group, governed by time-frequency codes, enhances interference resilience and spectral efficiency, with the low-duty cycle operation—typically transmitting short bursts—further reducing average power and interference to narrowband systems. In satellite communications, OFDM supports mobile audio broadcasting via the Satellite Digital Audio Radio Service (SDARS), as implemented by Sirius XM, where coded OFDM (COFDM) modulates signals in the 2.3 GHz S-band to deliver robust audio streams to vehicular receivers. This modulation combats multipath fading and Doppler shifts inherent in mobile satellite links, ensuring reliable reception despite signal blockages from urban structures, with terrestrial repeaters augmenting satellite coverage to handle propagation delays. Adaptations like extended cyclic prefixes, often exceeding 25% of the symbol duration, accommodate the large delay spreads in satellite channels, preventing inter-symbol interference without excessive overhead. Flash-OFDM, a time-division duplex (TDD) variant developed by Flarion Technologies in the early 2000s, optimizes OFDM for bursty, packet-based data traffic in mobile broadband networks, achieving low latency through dynamic subcarrier allocation and frequency hopping across 1.25 MHz channels. Field trials in the mid-2000s demonstrated its efficacy for IP-centric services, leveraging statistical multiplexing to support asymmetric, intermittent data flows typical of internet access, before its integration into Qualcomm's technologies. For personal area networks (PANs), the IEEE 802.15.3c standard, published in 2009, incorporates as an alternative physical layer for millimeter-wave (mmWave) operations in the 57-64 GHz unlicensed band, enabling gigabit-per-second data rates for short-range, high-throughput applications like wireless docking and streaming. This implementation uses up to 1,728 subcarriers with adaptive modulation to mitigate severe path loss and oxygen absorption at mmWave frequencies, supporting both single-carrier and multi-carrier modes for flexible device interoperability in compact environments.

Variants and Extensions

Vector OFDM (VOFDM)

Vector OFDM (VOFDM) represents an extension of standard OFDM through the application of vector modulation to OFDM symbols, enabling the exploitation of polarization or phase diversity in the channel. This approach, proposed by Xiang-Gen Xia, involves blocking the time-domain signals into vectors of size M > 1, which transforms inter-symbol interference (ISI) channels into multiple parallel ISI-free vector channels via M-point discrete Fourier transforms (DFTs) for diagonalization. By treating the channel response in blocked frequency domains, VOFDM facilitates joint processing across vector dimensions, enhancing robustness in environments with time-varying . In contrast to standard OFDM, which operates on scalar symbols and assumes independent flat-fading subchannels, VOFDM addresses correlated through integrated vector operations, effectively bridging OFDM with single-carrier frequency-domain equalization (SC-FDE) schemes. This joint processing allows VOFDM to collect both multipath diversity and signal space diversity, particularly in Doppler-spread channels where standard OFDM may suffer from performance degradation due to unmitigated correlations. VOFDM builds briefly on space diversity as a precursor by extending it to vector signal spaces for improved channel utilization. VOFDM is applied in military and communications systems, where it enhances capacity in vector channels exhibiting non-isotropic , such as those involving or phase shifts in dynamic scenarios. These applications leverage VOFDM's ability to maintain reliable transmission amid severe fading, supporting high-mobility operations in sensing and secure links. Additionally, it suits general contexts requiring in fading-prone environments. Key advantages of VOFDM include superior performance in non-isotropic environments, where it mitigates the effects of spectral nulls and reduces cyclic prefix overhead compared to standard OFDM—potentially by a factor related to vector size M—leading to higher overall efficiency. Simulation results indicate 2-3 dB gains in for achieving target bit error rates in time-varying channels with linear receivers like zero-forcing (ZF) or (MMSE). Implementation introduces additional complexity in the transmitter and receiver due to vector blocking, M-point DFT processing, and equalization operations, though MMSE receivers balance this by exploiting inherent diversity without excessive computational load. Maximum likelihood detection offers optimal performance but at higher complexity, making ZF/MMSE preferable for practical deployments.

Wavelet-Based OFDM

Wavelet-based frequency-division multiplexing (Wavelet-OFDM) replaces the inverse fast Fourier transform (IFFT) used in conventional OFDM with the inverse discrete wavelet transform (IDWT) for modulation, enabling multicarrier transmission through wavelet basis functions. Orthogonal wavelets, such as Haar or Daubechies, are commonly employed to ensure subcarrier and efficient signal representation. A key advantage of Wavelet-OFDM lies in its reduced sidelobe levels, which minimize (OOB) emissions and mitigate interference in adjacent channels more effectively than standard OFDM. Furthermore, the enhanced time-frequency localization of wavelets provides superior handling of multipath fading and Doppler effects, improving robustness in dynamic channels. Compared to traditional OFDM, Wavelet-OFDM achieves a peak-to-average power ratio (PAPR) reduction of 1-2 dB, easing the demands on power amplifiers and reducing . It also excels in asynchronous scenarios by inherently suppressing inter-symbol and inter-carrier interference without a cyclic prefix, leading to higher . Wavelet-OFDM finds applications in , where its adaptable spectrum occupancy supports efficient sensing and dynamic access to underutilized bands. Research prototypes, including implementations for communications, have demonstrated practical viability up to 2025, with achieved data rates exceeding 6 Mbps in challenging environments. Despite these benefits, Wavelet-OFDM incurs higher due to the more intensive operations relative to the (FFT). is maintained via the inherent properties of the selected basis.

Alternative Orthogonal Transforms

While the (DFT) implemented via the (FFT) serves as the baseline orthogonal transform in conventional OFDM, alternative orthogonal transforms have been explored to address specific limitations such as peak-to-average power ratio (PAPR), in real-valued channels, and frequency selectivity. These variants replace or augment the FFT with transforms that offer computational simplicity, reduced overhead, or enhanced robustness in niche applications like visible light communications (VLC) and powerline communications (PLC). DCT-based OFDM employs the (DCT) instead of the DFT, particularly suited for real-valued signals in intensity-modulated direct-detection (IM/DD) systems such as VLC, where complex conjugate symmetry in FFT-based OFDM halves . By mapping real input symbols to real cosine basis functions, DCT-OFDM avoids this Hermitian symmetry requirement, preserving full without the 50% bandwidth loss associated with complex FFT modulation in real channels. This approach also mitigates PAPR in transmission scenarios, including and video over links, by leveraging the DCT's compaction properties to distribute signal peaks more evenly, achieving PAPR reductions of over 3 dB compared to standard DCT-OFDM variants. In PLC applications, DCT-OFDM enhances (BER) performance over noisy power lines by exploiting the transform's robustness to impulse noise, making it viable for data delivery in systems. The , based on a simple binary Walsh-Hadamard matrix, is often used as a step in OFDM to achieve full frequency diversity without increasing PAPR significantly. This spreads data symbols across frequency subcarriers, converting frequency-flat into frequency-selective diversity gains, which improves BER in multipath channels at low computational cost due to the transform's ±1 entries requiring only additions and subtractions. In configurations, Hadamard enables low-PAPR space-frequency , providing full diversity while maintaining among streams. Other alternatives include the Stockham DFT, which addresses overlap artifacts in filtered multicarrier implementations of OFDM by enabling efficient in-place computation for overlap-add methods in polyphase filter banks, reducing in time-domain processing. In imaging-related applications, such as OFDM radar for synthetic aperture processing, Radon transforms have been integrated for parameter estimation, like carrier frequency offset correction, to enhance resolution in tomographic reconstructions. Comparatively, DCT-OFDM demonstrates a 50% bandwidth advantage over complex FFT-OFDM in real-signal environments, alongside PAPR savings that support higher-order modulations in PLC without overhead. Hadamard , while not altering bandwidth, offers simpler diversity at the cost of minor correlation-induced interference, outperforming FFT alone in fading scenarios by up to 5 dB in SNR gains for certain setups. Research into these non-Fourier bases is gaining traction for , where transforms like the discrete affine Fourier transform in AFDM variants promise better resilience to high-mobility Doppler spreads, with DCT and Hadamard explored for PAPR mitigation in integrated sensing and communication waveforms.

References

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