Phase Noise Compensation for OFDM Systems

Leshem, Amir; Yemini, Michal

doi:10.1109/tsp.2017.2740165

Cited by 37 publications

(22 citation statements)

References 44 publications

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“…However, a sinusoid may not approximate PN very well. To improve the results in [81], Karhunen-Loève representation of the PN process is utilized, and the resulting covariance matrix is deployed as basis elements in [83]. To be specific, the authors improve the data-directed choice of basis elements for LS PN estimation.…”

Section: ) Single-user Ofdm Systemsmentioning

confidence: 99%

RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

Mohammadian

Tellambura

2021

IEEE Access

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Wireless transceivers for mass-market applications must be cost effective. We may achieve this goal by deploying non-ideal low-cost radio frequency (RF) analog components. However, their imperfections may result in RF impairments, including phase noise (PN), carrier frequency offset (CFO), and in-phase (I) and quadrature-phase (Q) imbalance. These impairments introduce in-band and out-of-band interference terms and degrade the performance of wireless systems. In this survey, we present RF-impairment signal models and discuss their impacts. Moreover, we review RF-impairment estimation and compensation in singlecarrier (SC) and multicarrier systems, especially orthogonal frequency division multiplexing (OFDM). Furthermore, we discuss the effects of the RF impairments in already-established wireless technologies, e.g., multiple-input multiple-output (MIMO), massive MIMO, full-duplex, and millimeter-wave communications and review existing estimation and compensation algorithms. Finally, future research directions investigate the RF impairments in emerging technologies, including cell-free massive MIMO communications, nonorthogonal multicarrier systems, non-orthogonal multiple access (NOMA), ambient backscatter communications, and intelligent reflecting surface (IRS)-assisted communications. Furthermore, we discuss artificial intelligence (AI) approaches for developing estimation and compensation algorithms for RF impairments.

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Section: ) Single-user Ofdm Systemsmentioning

confidence: 99%

RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

Mohammadian

Tellambura

2021

IEEE Access

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“…This is because OFDM is the underlying modulation in the most relevant communication systems, including 4G (e.g., LTE) and 5G cellular networks, as well as WiFi and WiMAX wireless access networks, and can be severely affected by the phase noise and frequency offset introduced in the conversion process. [ 29 ]…”

Section: Introductionmentioning

confidence: 99%

Photonic Frequency Conversion of OFDM Microwave Signals in a Wavelength‐Scale Optomechanical Cavity

Mercadé

Morant

Griol

et al. 2021

Laser & Photonics Reviews

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Optomechanical (OM) cavities enable coupling of near‐infrared light and GHz‐frequency acoustic waves in wavelength‐scale volumes. When driven in the phonon lasing regime, an OM cavity can perform simultaneously as a nonlinear mixer and a local oscillator—at integer multiples of the mechanical resonance frequency—in the optical domain. In this work, this property is used to demonstrate all‐optical frequency down‐ and up‐conversion of MHz‐bandwidth orthogonal frequency division multiplexed signals compliant with the IEEE 802.16e WiMAX wireless standard at microwave frequencies. To this end, a silicon OM crystal cavity (OMCC), supporting a breathing‐like mechanical resonance at fm≈3.9 GHz and having a foot‐print ≈ 10 μm2, which yields frequency conversion efficiencies better than −17 dB in both down‐ and up‐conversion processes at mW‐scale driving power, is employed. This work paves the way toward the application of OMCCs in low‐power all‐photonic processing of digitally modulated microwave signals in miniaturized silicon photonics chips.

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“…Any multi-carrier systems suffer from physical impairments, especially the phase noise (PN). Impact of PN on OFDM systems has been extensively studied in the last few decades [25]- [29]. In the time domain, the effect of PN can be represented as a multiplicative noise in the form of a complex exponential function.…”

Section: Introductionmentioning

confidence: 99%

“…The first component results in a common rotation of all symbols, while the second component is different for every symbol. Mitigating the PN impact in OFDM systems can be performed in either the frequency domain [26], [27], [30]- [32] or the time domain [28], [29], [33]- [37].…”

Section: Introductionmentioning

confidence: 99%

Phase Noise Compensation for CFBMC–OQAM Systems Under Imperfect Channel Estimation

Nguyen

2020

IEEE Access

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Among many multi-carrier systems, circular filter-bank multi-carrier offset quadrature amplitude modulation (CFBMC-OQAM) is one of promising candidates for future wireless communications. This paper studies the impact of phase noise and its compensation for CFBMC-OQAM under imperfect channel estimation, which has not been done before. In the presence of phase noise, a two-stage phase noise compensation algorithm is proposed. In the first stage, the channel frequency response and phase noise are estimated based on the transmission of a preamble. Such a preamble is designed to minimize the channel mean squared error. In the second stage, the estimated channel obtained from the first stage together with pilot symbols are used to compensate for the phase noise and detect the transmitted signal. Simulation results obtained under practical scenarios show that the proposed algorithm effectively estimates the channel frequency response and compensates for the phase noise. The proposed algorithm is also shown to outperform an existing algorithm that performs iterative phase noise compensation when phase noise impact is high. INDEX TERMS FBMC, OFDM, CFBMC-OQAM, phase noise, preamble design, channel estimation.

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Phase Noise Compensation for OFDM Systems

Cited by 37 publications

References 44 publications

RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

RF Impairments in Wireless Transceivers: Phase Noise, CFO, and IQ Imbalance – A Survey

Photonic Frequency Conversion of OFDM Microwave Signals in a Wavelength‐Scale Optomechanical Cavity

Phase Noise Compensation for CFBMC–OQAM Systems Under Imperfect Channel Estimation

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