Downlink CSI Recovery in Massive MIMO Systems by Proactive Sensing

被引：4

作者：

Li, Lei ^{[1
]}

Zhu, Minghe ^{[1
]}

Xia, Shuqiang ^{[2
,3
]}

Chang, Tsung-Hui ^{[1
]}

机构：

[1] Chinese Univ Hong Kong Shenzhen, Shenzhen Res Inst Big Data, Sch Sci & Engn, Shenzhen 518172, Peoples R China

[2] ZTE Corp, Shenzhen 518057, Peoples R China

[3] State Key Lab Mobile Network & Mobile Multimedia T, Shenzhen 518055, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2023年 / 12卷 / 03期

关键词：

Sensors; Precoding; Channel estimation; Downlink; Wireless sensor networks; Wireless communication; Receiving antennas; CSI recovery; FDD; finite feedback; integrated sensing and communication; phase retrieval; JOINT RADAR; OPTIMIZATION; DESIGN;

D O I：

10.1109/LWC.2022.3228244

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Accurate channel state information (CSI) is critical to harvest the potential gain brought by massive multiple-input multiple-output (MIMO). However, the acquisition of downlink CSI is challenging in the frequency division duplex (FDD) systems due to limited feedback and the use of low-resolution codebooks. In this letter, we propose a novel sensing-assisted CSI recovery (SACR) scheme, where the BS proactively senses the downlink channel structure so that accurate CSI recovery at the BS can be achieved with only a few number of low-resolution user feedbacks. Numerical results show that the proposed scheme significantly outperforms the existing methods.

引用

页码：406 / 410

页数：5

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