Linear Minimum Error Probability Detection for Massive MU-MIMO With Imperfect CSI in URLLC

被引：18

作者：

Zeng, Jie ^{[1
]}

Lv, Tiejun ^{[2
]}

Liu, Ren Ping ^{[3
]}

Su, Xin ^{[1
]}

Beaulieu, Norman C. ^{[2
,4
]}

Guo, Y. Jay ^{[3
]}

机构：

[1] Tsinghua Univ, Res Inst Informat Technol, Beijing 100084, Peoples R China

[2] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China

[3] Univ Technol Sydney, Sch Elect & Data Engn, Sydney, NSW 2007, Australia

[4] Beijing Univ Posts & Telecommun, Beijing Key Lab Network Syst Architecture & Conve, Beijing 100876, Peoples R China

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2019年 / 68卷 / 11期

基金：

中国国家自然科学基金;

关键词：

Imperfect channel state information (CSI); linear detection; Massive multi-user multiple-input-multiple-output (MU-MIMO); minimum error probability (MEP); ultra-reliable and low latency communications (URLLC);

D O I：

10.1109/TVT.2019.2944489

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

It is challenging to realize ultra-reliable and low latency communications (URLLC) under severe shadow fading and imperfect channel state information (CSI). However, reliability can be increased by exploiting space diversity from multiple receive antennas rather than retransmission with limited latency. Massive multi-user multiple-input-multiple-output (MU-MIMO) is studied to enable URLLC with imperfect CSI from least-square channel estimation. The linear minimum error probability (MEP) detector with a given length of pilots (LoP) is derived. Further, the LoP is optimized to minimize the error probability of the uplink with a limited number of channel uses, using the finite blocklength information theory and one-dimensional search methods. Numerical results verify that the proposed linear MEP detection incorporated in massive MU-MIMO improves reliability with limited latency and imperfect CSI.

引用

页码：11384 / 11388

页数：5

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