A Low-Complexity QR-based Precoding for Massive MIMO Systems with Channel Update

被引：0
|
作者：
Lu, Guangyan [1 ]
Li, Lihua [1 ]
Li, Zejian [1 ]
Wang, Xin [1 ]
Tian, Hui [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100786, Peoples R China
来源：
2018 21ST INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC) | 2018年
基金：
中国国家自然科学基金;
关键词：
Massive MIMO; QR Decomposition; Two-Stage Precoding; Channel Update; MULTIUSER; INVERSION;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we investigate the precoding design for massive multiple-input multiple-output (MIMO) system after a new channel changes for a given user, i.e., channel update. Specifically, we develop a modified two-stage precoding based on channel extension to balance the multi-user interference and noise effect. Additionally, utilizing the matrix transform method of the QR decomposition, a low-complexity precoding algorithm is proposed with channel update into three cases of position. The computation complexity analysis and simulation results in terms of the system capacity are evaluated to demonstrate performance gains of the proposed algorithms.
引用
收藏
页码：41 / 45
页数：5
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