Statistical CSI-Based Transmission Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with Hardware Impairments

Jianxin Dai, Feng Zhu, Cunhua Pan*, Hong Ren, Kezhi Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We consider a reconfigurable intelligent surface (RIS)-aided massive multi-user multiple-input multiple-output (MIMO) communication system with transceiver hardware impairments (HWIs) and RIS phase noise. Different from the existing contributions, the phase shifts of the RIS are designed based on the long-term angle information. Firstly, an approximate analytical expression of the uplink achievable rate is derived. Then, we use genetic algorithm (GA) to maximize the sum rate and the minimum date rate. Finally, we show that it is crucial to take HWIs into account when designing the phase shift of RIS.

Original languageEnglish
Pages (from-to)38-42
Number of pages5
JournalIEEE Wireless Communications Letters
Volume11
Issue number1
Early online date14 Oct 2021
DOIs
Publication statusPublished - 1 Jan 2022

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