Performance Analysis of Multi-User Massive MIMO Downlink under Channel Non-Reciprocity and Imperfect CSI
Orod Raeesi, Ahmet Gokceoglu, Yaning Zou, Emil Bj\"ornson, and Mikko, Valkama

TL;DR
This paper evaluates how channel non-reciprocity and imperfect CSI impact the performance of multi-user massive MIMO downlink systems using linear precoding, providing analytical insights and practical performance bounds.
Contribution
It introduces a realistic NRC model, derives closed-form expressions for SINR and capacity bounds, and compares the sensitivity of ZF and MRT precoders to NRC effects.
Findings
NRC causes significant performance degradation at high SNR.
ZF precoding is more sensitive to NRC than MRT.
Spectral efficiency loss can reach 42% for ZF under practical NRC levels.
Abstract
This paper analyzes the performance of linearly precoded time division duplex based multi-user massive MIMO downlink system under joint impacts of channel non-reciprocity (NRC) and imperfect channel state information (CSI). We consider a generic and realistic NRC model that accounts for transceiver frequency-response as well as mutual coupling mismatches at both user equipment (UE) and base station (BS) sides. The analysis covers two most prominent forms of linear precoding schemes, namely, zero-forcing (ZF) and maximum-ratio transmission (MRT), and assumes that only the statistical properties of the beamformed channel are used at the UE side to decode the received signal. Under the approximation of i.i.d. Gaussian channels, closed-form analytical expressions are derived for the effective signal to interference and noise ratios (SINRs) and the corresponding capacity lower bounds. The…
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