Linear Massive MIMO Precoders in the Presence of Phase Noise -- A Large-Scale Analysis
R. Krishnan, M. R. Khanzadi, N. Krishnan, Y. Wu, A. Graell i Amat, T., Eriksson, and R. Schober

TL;DR
This paper analyzes how phase noise affects the downlink performance of massive MIMO systems with large antenna arrays, revealing that oscillator configurations significantly impact SINR and system robustness.
Contribution
It provides a large-scale asymptotic analysis of phase noise effects on precoders in massive MIMO, quantifying SINR degradation and comparing oscillator configurations.
Findings
Increasing the number of oscillators degrades SINR performance.
System performance depends on the ratio of antennas to users and oscillator configuration.
Analytical results are validated through Monte-Carlo simulations.
Abstract
We study the impact of phase noise on the downlink performance of a multi-user multiple-input multiple-output system, where the base station (BS) employs a large number of transmit antennas . We consider a setup where the BS employs free-running oscillators, and antennas are connected to each oscillator. For this configuration, we analyze the impact of phase noise on the performance of the regularized zero-forcing (RZF), when and the number of users are asymptotically large, while the ratio is fixed. We analytically show that the impact of phase noise on the signal-to-interference-plus-noise ratio (SINR) can be quantified as an effective reduction in the quality of the channel state information available at the BS when compared to a system without phase noise. As a consequence, we observe that as …
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Communication Techniques · Wireless Communication Networks Research
