A Distributed Detection Algorithm For Uplink Massive MIMO Systems

被引：0

作者：

Liu, Qiufeng ^{[1
]}

Liu, Hao ^{[1
]}

Yan, Ying ^{[1
]}

Wu, Peng ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Natl Key Lab Sci & Technol Commun, Chengdu, Peoples R China

来源：

PROCEEDINGS OF THE 2019 IEEE INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING SYSTEMS (SIPS 2019) | 2019年

关键词：

Massive MIMO; distributed; daisy chain; signal detection; performance-complexity tradeoff;

D O I：

10.1109/sips47522.2019.9020489

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Massive multiple-input multiple-output (MIMO) uplink detection algorithms usually rely on centralized base station (BS) architecture, which results in excessive amount of raw baseband data to be transmitted to central processing unit (CU) when the number of antennas is large. Considering the channel hardening characteristics occurs in massive MIMO channels, this paper develops a novel distributed algorithm based on a daisy chain architecture, where the BS antennas are divided into clusters and each owns independent computing hardware for signal processing. In distributed signal detection, only local channel state information (CSI), received data and some data exchange between clusters are needed on each cluster. It is demonstrated that the algorithm can achieve the tradeoff between complexity and performance better than other existing distributed methods.

引用

页码：213 / 217

页数：5

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