Low-complexity transmit antenna selection algorithm for massive MIMO

被引:0
作者
Xinmin L. [1 ]
Guomin L. [1 ]
Yang L. [1 ]
Tian G. [1 ]
Pu L. [2 ]
Yaru L. [1 ]
机构
[1] School of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an
[2] School of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an
来源
Journal of China Universities of Posts and Telecommunications | 2020年 / 27卷 / 05期
基金
中国国家自然科学基金;
关键词
Convex optimization; Massive MIMO; Transmit antenna selection;
D O I
10.19682/j.cnki.1005-8885.2020.0029
中图分类号
学科分类号
摘要
Massive multiple input multiple output (MIMO) systems can increase capacity and reliability greatly. However, extremely high hardware costs and computational complexity lead to the demand for reasonable antenna selection. Aiming at the problem that the traditional antenna selection algorithm based on maximizing sum capacity has large complexity and worse bit error rate (BER) performance, a two-step selection algorithm is proposed, which selects a part of the antennas based on the norm-based antenna selection (NBS) firstly, and then selects the antenna based on maximizing capacity via convex optimization. The simulation results show that the improved algorithm has better BER performance than the traditional algorithms. At the same time, it reduces computational complexity greatly. © 2020, Beijing University of Posts and Telecommunications. All rights reserved.
引用
收藏
页码:63 / 68
页数:5
相关论文
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