Statistical CSI-Based Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems with Direct Links

Kangda Zhi, Cunhua Pan*, Hong Ren, Kezhi Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This letter investigates the performance of reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (mMIMO) systems with direct links, and the phase shifts of the RIS are designed based on the statistical channel state information (CSI). We first derive the closed-form expression of the uplink ergodic data rate. Then, based on the derived expression, we use the genetic algorithm (GA) to solve the sum data rate maximization problem. With low-complexity maximal-ratio combination (MRC) and low-overhead statistical CSI-based scheme, we validate that the RIS can bring significant performance gains to the traditional mMIMO systems.

Original languageEnglish
Article number9355404
Pages (from-to)1128-1132
Number of pages5
JournalIEEE Wireless Communications Letters
Volume10
Issue number5
Early online date17 Feb 2021
DOIs
Publication statusPublished - May 2021

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