Average Rate Approximation and Maximization for RIS-Assisted Multi-User MISO System

被引：5
|
作者：
Xiao, Gechuan [1 ]
Yang, Tao [1 ]
Huang, Chongwen [2 ,3 ,4 ]
Wu, Xiaofeng [1 ]
Feng, Hui [1 ]
Hu, Bo [1 ]
机构：
[1] Fudan Univ, Sch Informat Sci & Engn, Dept Elect Engn, Shanghai 200438, Peoples R China
[2] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310007, Peoples R China
[3] Zhejiang Univ, Zhejiang Prov Key Lab Informat Proc Commun & Netw, Hangzhou 310007, Peoples R China
[4] Zhejiang Univ, Int Joint Innovat Ctr, Haining Campus, Haining 314400, Peoples R China
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2022年 / 11卷 / 01期
关键词：
Downlink; MISO communication; Linear antenna arrays; Fading channels; Complexity theory; Array signal processing; Optimization; Reconfigurable intelligent surface (RIS); statistical CSI; phase shift optimization; INTELLIGENT REFLECTING SURFACE; MASSIVE MIMO;
D O I：
10.1109/LWC.2021.3123505
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this letter, we investigate a reconfigurable intelligent surface (RIS) assisted downlink multi-user multiple-input single-output (MISO) system. We derive the approximations of average rate of user equipments (UEs) under proper assumptions, and reveal the relations between average rates and system parameters. Furthermore, a RIS configuration algorithm is proposed to improve the average sum rate with low complexity by exploiting the approximation of average rate and statistical channel state information (CSI). The rationality of the assumptions, the tightness of the approximations and the effectiveness of the proposed algorithm are validated by numerical results.
引用
收藏
页码：173 / 177
页数：5
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