Reconfigurable Intelligent Surface Assisted Massive MIMO With Antenna Selection

doi:10.1109/TWC.2021.3133272

	Reconfigurable Intelligent Surface Assisted Massive MIMO With Antenna Selection
	He, Jinglian1,2,3 ; Yu, Kaiqiang1 ; Shi, Yuanming1 ; Zhou, Yong1 ; Chen, Wei 3; Letaief, Khaled B.4,5
	2022-07-01
会议录名称	IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
ISSN	1536-1276
卷号	21
期号	7
页码	4769-4783
DOI	10.1109/TWC.2021.3133272
摘要	Antenna selection is capable of reducing the hardware complexity of massive multiple-input multiple-output (MIMO) networks at the cost of certain performance degradation. Reconfigurable intelligent surface (RIS) has emerged as a cost-effective technique that can enhance the spectrum-efficiency of wireless networks by reconfiguring the propagation environment. By employing RIS to compensate for the performance loss due to antenna selection, in this paper we propose a new network architecture, i.e., RIS-assisted massive MIMO system with antenna selection, to enhance the system performance while enjoying a low hardware cost. This is achieved by maximizing the channel capacity via joint antenna selection and passive beamforming while taking into account the cardinality constraint of active antennas and the unit-modulus constraints of all RIS elements. However, the formulated problem turns out to be highly intractable due to the non-convex constraints and coupled optimization variables, for which an alternating optimization framework is provided, yielding antenna selection and passive beamforming subproblems. The computationally efficient submodular optimization algorithms are developed to solve the antenna selection subproblem under different channel state information assumptions. The iterative algorithms based on block coordinate descent are further proposed for the passive beamforming design by exploiting the unique problem structures. Moreover, the proposed algorithms are feasible to any finite number of antennas, and thus can be applicable in both ordinary MIMO and massive MIMO settings. Experimental results will demonstrate the algorithmic advantages and desirable performance of the proposed algorithms for RIS-assisted massive MIMO systems with antenna selection. © 2002-2012 IEEE.
关键词	Channel state information Beam forming networks Stochastic systems Computer hardware Spectrum efficiency Beamforming Iterative methods MIMO systems Network architecture Antenna selection Hardware Massive multiple-input multiple-output Optimisations Passive beamforming Reconfigurable Reconfigurable intelligent surface Stochastic submodular maximization Stochastics Submodular Wireless communications
URL	查看原文
收录类别	EI
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20215211398642
EI主题词	Cost effectiveness
EISSN	1558-2248
EI分类号	711.2 Electromagnetic Waves in Relation to Various Structures ; 716 Telecommunication ; Radar, Radio and Television ; 722 Computer Systems and Equipment ; 731.1 Control Systems ; 911.2 Industrial Economics ; 921.6 Numerical Methods ; 961 Systems Science
原始文献类型	Conference article (CA)
引用统计
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/243561
专题	信息科学与技术学院_博士生信息科学与技术学院_PI研究组_石远明组信息科学与技术学院_PI研究组_周勇组
通讯作者	Shi, Yuanming
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai; 201210, China; 2.Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai; 200050, China; 3.University of Chinese Academy of Sciences, Beijing; 100049, China; 4.Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong; 5.Peng Cheng Laboratory, Shenzhen; 518066, China
第一作者单位	信息科学与技术学院
通讯作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	He, Jinglian,Yu, Kaiqiang,Shi, Yuanming,et al. Reconfigurable Intelligent Surface Assisted Massive MIMO With Antenna Selection[C]:Institute of Electrical and Electronics Engineers Inc.,2022:4769-4783.