ShanghaiTech University Knowledge Management System
| Reconfigurable Intelligent Surface Assisted Massive MIMO With Antenna Selection | |
| 2022-07 | |
| 发表期刊 | IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
 |
| ISSN | 1536-1276 |
| EISSN | 1558-2248 |
| 卷号 | 21期号:7页码:4769-4783 |
| 发表状态 | 已发表 |
| 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. |
| 关键词 | Antennas Array signal processing Massive MIMO Optimization Costs Hardware Wireless communication Reconfigurable intelligent surface massive MIMO antenna selection passive beamforming stochastic submodular maximization |
| URL | 查看原文 |
| 收录类别 | SCIE ; SCI |
| 语种 | 英语 |
| 资助项目 | Natural Science Foundation of Shanghai[21ZR1442700] |
| WOS研究方向 | Engineering ; Telecommunications |
| WOS类目 | Engineering, Electrical & Electronic ; Telecommunications |
| WOS记录号 | WOS:000838503800013 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 原始文献类型 | Article |
| 来源库 | IEEE |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/243296 |
| 专题 | 信息科学与技术学院 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 信息科学与技术学院_博士生 |
| 作者单位 | 1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Department of Electronic Engineering, Tsinghua University, Beijing, China 3.Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong |
| 第一作者单位 | 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 | Jinglian He,Kaiqiang Yu,Yuanming Shi,et al. Reconfigurable Intelligent Surface Assisted Massive MIMO With Antenna Selection[J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,2022,21(7):4769-4783. |
| APA | Jinglian He,Kaiqiang Yu,Yuanming Shi,Yong Zhou,Wei Chen,&Khaled B. Letaief.(2022).Reconfigurable Intelligent Surface Assisted Massive MIMO With Antenna Selection.IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,21(7),4769-4783. |
| MLA | Jinglian He,et al."Reconfigurable Intelligent Surface Assisted Massive MIMO With Antenna Selection".IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS 21.7(2022):4769-4783. |
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