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

被引：84
|
作者：
Zhi, Kangda [1 ]
Pan, Cunhua [1 ]
Ren, Hong [2 ]
Wang, Kezhi [3 ]
机构：
[1] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England
[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[3] Northumbria Univ, Dept Comp & Informat Sci, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2021年 / 10卷 / 05期
关键词：
Intelligent reflecting surface (IRS); reconfigurable intelligent surface (RIS); massive MIMO; statistical CSI; INFORMATION;
D O I：
10.1109/LWC.2021.3059938
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：1128 / 1132
页数：5
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