A Massive MIMO Signal Detection Method Based on ZF Method

被引:3
|
作者
Liu, Yunlong [1 ]
机构
[1] Northwestern Polytech Univ, Xian 710072, Peoples R China
关键词
Massive MIMO; Gauss-Seidel method; Successive Over Relaxation; zero-forcing (ZF) method; Minimum Mean Square Error;
D O I
10.1109/ICISPC53419.2021.00021
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
The 5th generation communication technology(5G) is becoming more and more significant so that almost major economies in the world has invested numerous resource in the construction of communication technology. However, Massive MIMO which is one of the 5G core technology bumps into an inevitable challenge how to calculate the inverse of large-scale more efficiently and apace. There are many method based on iterative algorithm in convergence condition such as Gauss-Seidel method. All of those methods relay on the short way of the special shape matrix to reckon inverse. They can not work well in inadequate iterations. Hence, we propose a novel zero-forcing method to solve the problem about how to reckon inverse in another way based on matrix inversion lemma and dismantling matrix.
引用
收藏
页码:71 / 76
页数:6
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