Blind Signal Detection in Massive MIMO: Exploiting the Channel Sparsity

doi:10.1109/TCOMM.2017.2761384

	Blind Signal Detection in Massive MIMO: Exploiting the Channel Sparsity
	Jianwen Zhang1 ; Xiaojun Yuan 2; Ying-Jun Angela Zhang 3
	2018-02
发表期刊	IEEE TRANSACTIONS ON COMMUNICATIONS
ISSN	0090-6778
卷号	66 期号:2 页码:700-712
发表状态	已发表
DOI	10.1109/TCOMM.2017.2761384
摘要	In practical massive MIMO systems, a substantial portion of system resources are consumed to acquire channel state information (CSI), leading to a drastically lower system capacity compared with the ideal case, where perfect CSI is available. In this paper, we show that the overhead for CSI acquisition can be largely compensated by the potential gain due to the sparsity of the massive MIMO channel in a certain transformed domain. To this end, we propose a novel blind detection scheme that simultaneously estimates the channel and data by factorizing the received signal matrix. We show that by exploiting the channel sparsity, our proposed scheme can achieve a degree of freedom (DoF) very close to the ideal case, provided that the channel is sufficiently sparse. Specifically, the achievable DoF has a fractional gap of only 1/T from the ideal DoF, where T is the channel coherence time. This is a remarkable advance for understanding the performance limit of the massive MIMO system. We further show that the performance advantage of our proposed scheme in the asymptotic SNR regime carries over to the practical SNR regime. Numerical results demonstrate that our proposed scheme significantly outperforms its counterpart schemes in the practical SNR regime under various system configurations.
关键词	Massive MIMO blind signal detection channel sparsity degrees of freedom (DoF) matrix factorization message passing
URL	查看原文
收录类别	SCI ; SCIE ; EI
语种	英语
资助项目	research Grants Council of Hong Kong[14209414]
WOS研究方向	Engineering ; Telecommunications
WOS类目	Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000425642400018
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS关键词	MATRIX FACTORIZATION ; PART I ; SYSTEMS ; WIRELESS ; COMMUNICATION ; NETWORKS ; ANTENNAS ; MODEL
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/18282
专题	信息科学与技术学院信息科学与技术学院_PI研究组_袁晓军组
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, China 3.Department of Information Engineering, Chinese University of Hong Kong, 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	Jianwen Zhang,Xiaojun Yuan,Ying-Jun Angela Zhang. Blind Signal Detection in Massive MIMO: Exploiting the Channel Sparsity[J]. IEEE TRANSACTIONS ON COMMUNICATIONS,2018,66(2):700-712.
APA	Jianwen Zhang,Xiaojun Yuan,&Ying-Jun Angela Zhang.(2018).Blind Signal Detection in Massive MIMO: Exploiting the Channel Sparsity.IEEE TRANSACTIONS ON COMMUNICATIONS,66(2),700-712.
MLA	Jianwen Zhang,et al."Blind Signal Detection in Massive MIMO: Exploiting the Channel Sparsity".IEEE TRANSACTIONS ON COMMUNICATIONS 66.2(2018):700-712.