Iterative Phase Noise Mitigation in MIMO-OFDM Systems with Pilot Aided Channel Estimation

Bittner, Steffen; Zimmermann, Ernesto; Fettweis, Gerhard

doi:10.1109/vetecf.2007.235

Cited by 29 publications

(15 citation statements)

References 7 publications

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“…A lot of research has been conducted regarding phase noise in conventional MIMO systems. In fact, a big part of the literature has dealt with multi-carrier MIMO systems that employ orthogonal frequencydivision multiplexing (OFDM) [33]- [36]. For example, in [34], the signal-to-interference-and-noise-ratio (SINR) degradation in OFDM is studied, and a method to mitigate the effect of phase noise is proposed.…”

Section: Introductionmentioning

confidence: 99%

Impact of General Channel Aging Conditions on the Downlink Performance of Massive MIMO

Papazafeiropoulos

2017

IEEE Trans. Veh. Technol.

138

113

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Abstract-Recent works have identified massive multiple-inputmultiple-output (MIMO) as a key technology for achieving substantial gains in spectral and energy efficiency. Additionally, the turn to low-cost transceivers, being prone to hardware impairments is the most effective and attractive way for costefficient applications concerning massive MIMO systems. In this context, the impact of channel aging, which severely affects the performance, is investigated herein by considering a generalized model. Specifically, we show that both Doppler shift because of the users' relative movement as well as phase noise due to noisy local oscillators (LOs) contribute to channel aging. To this end, we first propose a joint model, encompassing both effects, in order to investigate the performance of a massive MIMO system based on the inevitable time-varying nature of realistic mobile communications. Then, we derive the deterministic equivalents (DEs) for the signal-to-noise-and-interference ratios (SINRs) with maximum ratio transmission (MRT) and regularized zero-forcing precoding (RZF). Our analysis not only demonstrates a performance comparison between MRT and RZF under these conditions, but most importantly, it reveals interesting properties regarding the effects of user mobility and phase noise. In particular, the large antenna limit behavior depends profoundly on both effects, but the burden due to user mobility is much more detrimental than phase noise even for moderate user velocities (≈ 30 km/h), while the negative impact of phase noise is noteworthy at lower mobility conditions. Moreover, massive MIMO systems are favorable even in general channel aging conditions. Nevertheless, we demonstrate that the transmit power of each user to maintain a certain quality of service can be scaled down at most by 1 √ M (M is the number of BS antennas), which indicates that the joint effects of phase noise and user mobility do not degrade the power scaling law, but only the achievable sum-rate.

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Section: Introductionmentioning

confidence: 99%

Impact of General Channel Aging Conditions on the Downlink Performance of Massive MIMO

Papazafeiropoulos

2017

IEEE Trans. Veh. Technol.

138

113

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“…Phase noise is introduced by the oscillator impairment and as a multiplicative term. Free-running oscillators are assumed; hence, the phase noise realizations follow Wiener processes [13,41,42]. Let ϕ t i be the transmitter phase noise and ϕ r i be the receiver phase noise in the ith time instant, where we assume that ϕ t i and ϕ r i are independent since the users and the BS use different oscillators:…”

Section: System Modelmentioning

confidence: 99%

Phase Noise Cancelation Based on Polarization Modulation for Massive MIMO-OFDM Systems

Nie

Feng

et al. 2019

International Journal of Antennas and Propagation

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In massive multiple-input multiple-output (MIMO) systems, phase noise introduced by oscillators can cause severe performance loss. It leads to common phase error and intercarrier interference in massive MIMO-OFDM uplink. To solve the issue, a novel phase noise cancelation scheme based on polarization modulation for the massive MIMO-OFDM system is proposed. We first introduce the polarization modulation (PM) exploited in massive MIMO-OFDM uplink. Then, by exploiting the zero-forcing detection, we analyze the asymptotically ICI and the distribution of the transformed noise under different XPD values. Furthermore, we demonstrate that phase noise can be asymptotically canceled and only the transformed additive white Gaussian noise exists as the number of antennas at the base station is very large. Moreover, we derive the instantaneous signal-to-noise ratio (SNR) on each subcarrier and analyze the ergodic capacity. To increase the ergodic capacity performance further, a joint modulation scheme combining the PM and 2PSK is proposed and the ergodic capacity performance of the joint modulation is discussed. The simulation results show that the proposed scheme can effectively mitigate phase noise and achieve a higher ergodic capacity.

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“…Such techniques are developed in [33,113]. Extensions to multi-antenna OFDM are then considered in [38,114]. Building on the iterative procedure above, further performance enhancement techniques where phase noise estimates at several neighboring symbol intervals are utilized jointly in an iterative manner (using interpolation) for ICI cancellation, are proposed in [34].…”

Section: Phase Noise Mitigation Approachesmentioning

confidence: 99%

RF Impairment Compensation for Future Radio Systems

Hueber

Staszewski²

2010

Multi‐Mode/Multi‐Band RF Transceivers for Wireless Communications

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Iterative Phase Noise Mitigation in MIMO-OFDM Systems with Pilot Aided Channel Estimation

Cited by 29 publications

References 7 publications

Impact of General Channel Aging Conditions on the Downlink Performance of Massive MIMO

Impact of General Channel Aging Conditions on the Downlink Performance of Massive MIMO

Phase Noise Cancelation Based on Polarization Modulation for Massive MIMO-OFDM Systems

RF Impairment Compensation for Future Radio Systems

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