Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks

被引:693
作者
Guo, Huayan [1 ,2 ,3 ]
Liang, Ying-Chang [4 ]
Chen, Jie [1 ,4 ]
Larsson, Erik G. [5 ]
机构
[1] Univ Elect Sci & Technol China, Natl Key Lab Sci & Technol Commun, Chengdu 611731, Peoples R China
[2] Hong Kong Univ Sci & Technol HKUST, Shenzhen Res Inst, Shenzhen 518000, Peoples R China
[3] Hong Kong Univ Sci & Technol HKUST, Dept Elect & Comp Engn, Hong Kong, Peoples R China
[4] Univ Elect Sci & Technol China UESTC, Ctr Intelligent Networking & Commun CINC, Chengdu 611731, Peoples R China
[5] Linkoping Univ, Dept Elect Engn ISY, S-58183 Linkoping, Sweden
基金
瑞典研究理事会; 中国国家自然科学基金;
关键词
Optimization; MISO communication; Wireless communication; Precoding; Array signal processing; Approximation algorithms; Channel estimation; Reconfigurable intelligent surfaces (RIS); passive radio; multiple-input-multiple-output (MIMO); fractional programming; stochastic successive convex approximation; REFLECTING SURFACE; BEAMFORMING DESIGN; CHANNEL ESTIMATION; COMMUNICATION; OPTIMIZATION; SYSTEMS;
D O I
10.1109/TWC.2020.2970061
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Reconfigurable intelligent surfaces (RIS) is a promising solution to build a programmable wireless environment via steering the incident signal in fully customizable ways with reconfigurable passive elements. In this paper, we consider a RIS-aided multiuser multiple-input single-output (MISO) downlink communication system. Our objective is to maximize the weighted sum-rate (WSR) of all users by joint designing the beamforming at the access point (AP) and the phase vector of the RIS elements, while both the perfect channel state information (CSI) setup and the imperfect CSI setup are investigated. For perfect CSI setup, a low-complexity algorithm is proposed to obtain the stationary solution for the joint design problem by utilizing the fractional programming technique. Then, we resort to the stochastic successive convex approximation technique and extend the proposed algorithm to the scenario wherein the CSI is imperfect. The validity of the proposed methods is confirmed by numerical results. In particular, the proposed algorithm performs quite well when the channel uncertainty is smaller than 10%.
引用
收藏
页码:3064 / 3076
页数:13
相关论文
共 52 条
[1]  
[Anonymous], 2019, ARXIV190500152
[2]  
[Anonymous], IEEE WIRELESS COMMUN
[3]  
[Anonymous], 2010, 36814 3GPP TS
[4]  
[Anonymous], IEEE WIRELESS COMMUN
[5]   Wireless Communications Through Reconfigurable Intelligent Surfaces [J].
Basar, Ertugrul ;
Di Renzo, Marco ;
De Rosny, Julien ;
Debbah, Merouane ;
Alouini, Mohamed-Slim ;
Zhang, Rui .
IEEE ACCESS, 2019, 7 :116753-116773
[6]  
Bertsekas D.P., 1997, The Journal of the Operational Research Society, V48, P334, DOI DOI 10.1057/PALGRAVE.JORS.2600425
[7]   Massive MIMO is a reality-What is next? Five promising research directions for antenna arrays [J].
Bjornson, Emil ;
Sanguinetti, Luca ;
Wymeersch, Henk ;
Hoydis, Jakob ;
Marzetta, Thomas L. .
DIGITAL SIGNAL PROCESSING, 2019, 94 :3-20
[8]  
Boumal N, 2014, J MACH LEARN RES, V15, P1455
[9]   Intelligent Reflecting Surface: A Programmable Wireless Environment for Physical Layer Security [J].
Chen, Jie ;
Liang, Ying-Chang ;
Pei, Yiyang ;
Guo, Huayan .
IEEE ACCESS, 2019, 7 :82599-82612
[10]   Randomized Two-Timescale Hybrid Precoding for Downlink Multicell Massive MIMO Systems [J].
Chen, Xihan ;
Liu, An ;
Cai, Yunlong ;
Lau, Vincent K. N. ;
Zhao, Min-Jian .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2019, 67 (16) :4152-4167