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

Zhi, Kangda, Pan, Cunhua, Ren, Hong and Wang, Kezhi (2021) Statistical CSI-Based Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems With Direct Links. IEEE Wireless Communications Letters, 10 (5). pp. 1128-1132. ISSN 2162-2337

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Official URL: https://doi.org/10.1109/LWC.2021.3059938

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.

Item Type: Article
Uncontrolled Keywords: Intelligent reflecting surface (IRS), massive MIMO, reconfigurable intelligent surface (RIS), statistical CSI
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Rachel Branson
Date Deposited: 03 Jun 2021 11:01
Last Modified: 03 Jun 2021 11:15
URI: http://nrl.northumbria.ac.uk/id/eprint/46337

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