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Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems by Li, Xingjian; Fang, Jun; Gao, Feifei; Li, Hongbin is a scholarly article available to read on EtoBox.

What is Joint Active and Passive Beamforming for Intelligent Reflecting Surface-Assisted Massive MIMO Systems about?

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 IRS-user association problem, where the objective is to determine which IRSs are assigned for each user. An exhaustive search scheme and a greedy search scheme are proposed to solve the IRS-user association problem. Our theoretical analysis reveals that our proposed solution attains an SINR that scales qua

Author

Li, Xingjian; Fang, Jun; Gao, Feifei; Li, Hongbin

Published

2019

Language

EN