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Blind Signal Detection in Massive MIMO: Exploiting the Channel Sparsity | |
2018-02 | |
发表期刊 | IEEE TRANSACTIONS ON COMMUNICATIONS (IF:7.2[JCR-2023],6.3[5-Year]) |
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. |
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