ShanghaiTech University Knowledge Management System
Reconfigurable Intelligent Surface for Interference Alignment in MIMO Device-to-Device Networks | |
2021-06-01 | |
会议录名称 | 2021 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS 2021 - PROCEEDINGS |
ISSN | 2164-7038 |
发表状态 | 已发表 |
DOI | 10.1109/ICCWorkshops50388.2021.9473762 |
摘要 | In multiple-input multiple-output (MIMO) device-to-device (D2D) networks, interference and rank-deficient channels are the critical bottlenecks for achieving high degrees of freedom (DoFs). In this paper, we propose a reconfigurable intelligent surface (RIS) assisted interference alignment strategy to simultaneously mitigate the co-channel interference and cope with rank-deficient channels, thereby improving the feasibility of interference alignment conditions and in turn increasing the achievable DoFs. The key enabler is a general low-rank optimization approach that maximizes the achievable DoFs by jointly designing the phase-shift and transceiver coding matrices. To address the unique challenges of the rank objective function, the unit modulus constraints, and the bilinear constraint resulting from coupled optimization variables, we develop a block-structured Riemannian pursuit method by solving fixed-rank and unit modulus constrained least square subproblems along with rank increase. Finally, to achieve good DoF performance, we develop unified Riemannian conjugate gradient algorithms to alternately optimize the fixed-rank transceiver matrix and the unit modulus constrained phase shifter by exploiting the non-compact Stiefel manifold and the complex circle manifold, respectively. Numerical results demonstrate the effectiveness of deploying an RIS and the superiority of the proposed block-structured Riemannian pursuit method in terms of the achievable DoFs compared to the state-of-the-art methods. © 2021 IEEE. |
会议录编者/会议主办者 | IEEE Communication Society ; IEEE Montreal Section ; IEEE Ottawa Section |
关键词 | Alignment Constrained optimization Degrees of freedom (mechanics) Interlocking signals Least squares approximations MIMO systems Numerical methods Compact Stiefel manifolds Conjugate gradient algorithms Constrained least squares Degrees of freedom (DoFs) Interference alignment Optimization approach Optimization variables State of the art methods |
会议名称 | 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 |
出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
会议地点 | Virtual, Online |
会议日期 | June 14, 2021 - June 23, 2021 |
URL | 查看原文 |
收录类别 | EI ; CPCI-S ; CPCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China (NSFC)[62001294] |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
WOS类目 | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
WOS记录号 | WOS:000848412200238 |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
EI入藏号 | 20213410796117 |
EI主题词 | Radio transceivers |
EI分类号 | 601.1 Mechanical Devices ; 681.3 Railroad Signals and Signaling ; 716.3 Radio Systems and Equipment ; 921.6 Numerical Methods ; 931.1 Mechanics ; 961 Systems Science |
原始文献类型 | Conference article (CA) |
来源库 | IEEE |
引用统计 | 正在获取...
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文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/133566 |
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 | Fu, Min |
作者单位 | 1.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China 2.Chinese Acad Sci, Shanghai Inst Microsyst & Informat Technol, Shanghai 200050, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R 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 | Fu, Min,Zhou, Yong,Shi, Yuanming. Reconfigurable Intelligent Surface for Interference Alignment in MIMO Device-to-Device Networks[C]//IEEE Communication Society, IEEE Montreal Section, IEEE Ottawa Section. 345 E 47TH ST, NEW YORK, NY 10017 USA:Institute of Electrical and Electronics Engineers Inc.,2021. |
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