Beamforming Design for Intelligent Reflecting Surface Aided Multi-Antenna MU-MIMO Communications with Imperfect CSI

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Abstract

In this paper, the joint design of the beamforming scheme in intelligent reflecting surface (IRS) assisted multiuser (MU) multiple-input multiple-output (MIMO) downlink transmissions is investigated. It is assumed that the channel state information (CSI) of each link is imperfect and the weighted sum rate (WSR) is adopted as the performance metric. An optimization problem to maximize the WSR is formulated. To obtain the optimal beamforming matrices at the base station (BS) and IRS, an algorithm based on the recursive successive convex approximation (SCA) technique is proposed. Due to the limitations of hardware and cost, low-resolution phase shifters (PSs) are taken into account as well. Simulation results demonstrate the effectiveness and superiority of the proposed scheme. Overall, a viable solution to the joint design of the beamforming in IRS-aided MU-MIMO downlink communication systems is provided.

Original languageEnglish
Title of host publication2020 IEEE/CIC International Conference on Communications in China, ICCC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages12-17
Number of pages6
ISBN (Electronic)9781728173276
DOIs
StatePublished - 9 Aug 2020
Event2020 IEEE/CIC International Conference on Communications in China, ICCC 2020 - Chongqing, China
Duration: 9 Aug 202011 Aug 2020

Publication series

Name2020 IEEE/CIC International Conference on Communications in China, ICCC 2020

Conference

Conference2020 IEEE/CIC International Conference on Communications in China, ICCC 2020
Country/TerritoryChina
CityChongqing
Period9/08/2011/08/20

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