Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems
Xingjian Li, Jun Fang, Feifei Gao, and Hongbin Li

TL;DR
This paper investigates joint active and passive beamforming in IRS-assisted massive MIMO systems, revealing an interference cancelation property and proposing schemes to optimize IRS-user associations for enhanced SINR.
Contribution
It introduces an asymptotic interference cancelation property and transforms the joint beamforming problem into an IRS-user association problem with scalable SINR gains.
Findings
SINR scales quadratically with the number of reflecting elements
Massive MIMO gains achievable with moderate active antennas by increasing passive elements
Proposed schemes effectively optimize IRS-user associations
Abstract
In this paper, we study the problem of joint active and passive beamforming for intelligent reflecting surface (IRS)-assisted massive MIMO systems, where multiple IRSs equipped with a large number of passive elements are deployed to assist a base station (BS) to simultaneously serve a small number of single-antenna users in the same time-frequency resource. Our objective is to maximize the minimum signal to interference plus noise (SINR) at users by jointly optimizing the transmit precoding vector at the BS and phase shift parameters at IRSs. We show that an interesting automatic interference cancelation (AIC) property holds asymptotically as the number of passive elements approaches infinity, i.e., when an IRS is optimally tuned to serve a certain user, this IRS will become interference-free to other users. By utilizing this property, the max-min problem can be converted into an…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Antenna Design and Analysis · Advanced Antenna and Metasurface Technologies
