A Unified Model for Signal Detection in Massive MIMO System and Its Application

被引：1
|
作者：
Jin, Fangli [1 ]
Cui, Fuxiang [1 ]
Liu, Qiufeng [1 ]
Liu, Hao [1 ]
机构：
[1] Univ Elect Sci & Technol China, Chengdu, Sichuan, Peoples R China
来源：
2019 16TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC) | 2019年
关键词：
massive MEMO; signal detection; unified model; symmetric successive over relaxation; relaxation parameter;
D O I：
10.1109/ccnc.2019.8651841
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Linear minimum mean-square error (MMSE) detection method bears high computational complexity due to matrix inversion operations in massive multiple-input multiple-output (MEMO) systems. Existing methods to address this problem can be divided into approximation methods and iterative methods. In this paper, we introduce the relationship between the two types of methods. Furthermore, a simple approach is developed to determine the appropriate relaxation parameter for the symmetrical successive over relaxation (SSOR) method. Finally, simulation results verify the proposed relationship and demonstrate the superiority of the proposed relaxation parameter.
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页数：2
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