Reconfigurable Intelligent Surface for Interference Alignment in MIMO Device-to-Device Networks

doi:10.1109/ICCWorkshops50388.2021.9473762

	Reconfigurable Intelligent Surface for Interference Alignment in MIMO Device-to-Device Networks
	Fu, Min1,2,3 ; Zhou, Yong1 ; Shi, Yuanming1
	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...
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.