Enhanced Algorithm for Digital Mitigation of ICI Due to Phase Noise in OFDM Receivers

Tchamov, Nikolay N.; Rinne, J.; Hazmi, A.; Valkama, Mikko; Syrjälä, Ville; Renfors, Markku

doi:10.1109/wcl.2012.091912.120412

Cited by 21 publications

(16 citation statements)

References 5 publications

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“…The cutoff frequency (f cut ) of the PN mitigation scheme approximately equals the inverse of the temporal spacing of the anchors, T /q, where T denotes the OFDM symbol duration. Thus, f cut is approximately given as f cut ≈ q/T = qf sub (9) where f sub denotes subcarrier spacing. Therefore, it is the spectral power above f cut that dominates the residual PN after PN mitigation.…”

Section: Performance Analysismentioning

confidence: 99%

“…An ICI correction algorithm (by estimating discrete spectral components of the PN) was proposed in [8]. The algorithm was further developed in [9] by linear interpolating between adjacent OFDM symbols, resulting in enhanced system performance at the cost of increased complexity and one extra OFDM symbol delay. Both ICI correction algorithms require iteratively processing.…”

Section: Introductionmentioning

confidence: 99%

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On Low-Pass Phase Noise Mitigation in OFDM System for mmWave Communications

Chen

Fan

Zhang

2018

Communications and Networking

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A phase noise (PN) mitigation scheme was proposed for orthogonal frequency division multiplexing (OFDM) in a previous work. The proposed scheme does not require detailed knowledge of PN statistics and can effectively compensate the PN with sufficient number of unknowns. In this paper, we analyze the performance of PN estimation/mitigation using the proposed scheme. It is shown that increasing the number of unknowns reduces the modeling error, yet increases the additive noise. Hence, increasing the number of unknowns increases the computational complexity and can even degrade the estimation performance. It is also shown that the PN spectral shape of the phase-lockedloop (PLL) based oscillator also affects the PN mitigation and that a larger PN may not necessarily degrade the performance of the OFDM system with PN mitigation. Simulations with realistic millimeter-wave (mmWave) PN and channel models are conducted to verify these findings.

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Section: Performance Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On Low-Pass Phase Noise Mitigation in OFDM System for mmWave Communications

Chen

Fan

Zhang

2018

Communications and Networking

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“…Most ICI compensation techniques employ decisiondirected feedback (DD-FB) for frequency domain PHN estimation [5,[12][13][14][15][16]. A vast majority of works assume a known channel frequency response [5,12,[15][16][17][18][19]. For unknown channel, joint channel and PHN estimation is considered in [13] where an ICI reduction scheme over a Rayleigh fading channel is presented in which the PHN process within an OFDM symbol is modeled as a power series.…”

Section: A Previous Workmentioning

confidence: 99%

“…A non-iterative compensation scheme in which the CPE between consecutive OFDM symbols are interpolated linearly to estimate the time varying PHN is presented in [17,18]. In [20], a method of suppressing the ICI is presented by linearly combining the cyclic-prefix and the corresponding OFDM samples.…”

Section: A Previous Workmentioning

confidence: 99%

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Phase-Noise Mitigation in OFDM by Best Match Trajectories

Negusse

Zetterberg

Händel

2015

IEEE Trans. Commun.

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This paper proposes a novel approach to phase-noise compensation. The basic idea is to approximate the phase-noise statistics by a finite number of realizations, i.e., a phase-noise codebook. The receiver then uses an augmented received signal model, where the codebook index is estimated along with other parameters. The realization of the basic idea depends on the details of the air interface, the phase-noise statistics, the propagation scenario and the computational constraints. In this paper, we will focus on a MQAM-OFDM system with pilot sub-carriers within each OFDM symbol. The channel is frequency selective, fading and unknown. A decision-feedback method is employed to further enhance performance of the system. Simulation results are shown for uncoded and coded systems to illustrate the performance of the algorithm, which is also compared with previously employed methods. Our simulations show that for a 16-QAM coded OFDM system over a frequency selective Rayleigh fading channel affected by phase noise with root-mean-square (RMS) of 14.4 degrees per OFDM symbol, the proposed algorithm is 1.5dB from the ideal phase-noise free case at a BER of $10^{-4}$. The performance of the best reference scheme is 2.5dB from the ideal case at BER of $10^{-4}$. The proposed scheme is also computationally attractive.Comment: Accepted for publication in IEEE Transactions on Communications, 201

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On MIMO‐UFMC in the Presence of Phase Noise and Antenna Mutual Coupling

Chen

Zhang

2017

Radio Science

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The universal filtered multicarrier (UFMC) technique has been proposed as a waveform candidate for the fifth generation (5G) communications and beyond 5G. Compared with conventional orthogonal frequency division multiplexing (OFDM), UFMC has lower out‐of‐band emission and is also compatible with the multiple‐input multiple‐output (MIMO) technique. However, like other multicarrier waveforms, it suffers from phase noise of imperfect oscillator. In contrast to the rich literature on phase noise effect on MIMO‐OFDM (where the antenna mutual coupling effect is usually omitted though), there is little work investigating the phase noise effect on MIMO‐UFMC. In this paper, we study the MIMO‐UFMC systems in the presence of phase noise and with/without mutual coupling effect. A phase noise mitigation scheme for MIMO‐UFMC systems is presented. The scheme does not require detailed knowledge of the phase noise statistics and can effectively mitigate the phase noise within each UFMC symbol. Moreover, it is shown that at small antenna separations, the performance of the MIMO‐UFMC system taking the mutual coupling effect into account is better than that when the mutual coupling effect is overlooked.

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Enhanced Algorithm for Digital Mitigation of ICI Due to Phase Noise in OFDM Receivers

Cited by 21 publications

References 5 publications

On Low-Pass Phase Noise Mitigation in OFDM System for mmWave Communications

On Low-Pass Phase Noise Mitigation in OFDM System for mmWave Communications

Phase-Noise Mitigation in OFDM by Best Match Trajectories

On MIMO‐UFMC in the Presence of Phase Noise and Antenna Mutual Coupling

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