MU-Massive MIMO with Multiple RISs: SINR Maximization and Asymptotic Analysis

TL;DR

This paper explores SINR maximization in multi-user massive MIMO systems with multiple RISs, analyzing zero-forcing beamforming strategies and deriving asymptotic expressions for optimal phase shifts and SINRs.

Contribution

It introduces two zero-forcing beamforming methods for interference management in RIS-assisted massive MIMO and derives asymptotic optimal phase shifts and SINRs.

Findings

Random phase shifts can maximize SINR with BS-UE-ZF when channels are independent and antennas are large.

BS-RIS-ZF approach achieves near-optimal SINRs even with few antennas.

Asymptotic expressions accurately predict performance for small numbers of antennas.

Abstract

In this letter, we investigate the signal-to-interference-plus-noise-ratio (SINR) maximization problem in a multi-user massive multiple-input-multiple-output (massive MIMO) system enabled with multiple reconfigurable intelligent surfaces (RISs). We examine two zero-forcing (ZF) beamforming approaches for interference management namely BS-UE-ZF and BS-RIS-ZF that enforce the interference to zero at the users (UEs) and the RISs, respectively.Then, for each case, we resolve the SINR maximization problem to find the optimal phase shifts of the elements of the RISs. Also, we evaluate the asymptotic expressions for the optimal phase shifts and the maximum SINRs when the number of the base station (BS) antennas tends to infinity. We show that if the channels of the RIS elements are independent and the number of the BS antennas tends to infinity, random phase shifts achieve the maximum SINR using the BS-UE-ZF beamforming approach. The simulation results illustrate that by employing the BS-RIS-ZF beamforming approach, the asymptotic expressions of the phase shifts and maximum SINRs achieve the rate obtained by the optimal phase shifts even for a small number of the BS antennas.