Low-complexity transmit antenna selection algorithm for massive MIMO

doi:10.19682/j.cnki.1005-8885.2020.0029

中国邮电高校学报(英文) ›› 2020, Vol. 27 ›› Issue (5): 63-68.doi: 10.19682/j.cnki.1005-8885.2020.0029

所属专题：人工智能专题

Low-complexity transmit antenna selection algorithm for massive MIMO

李新民; 李国民; 刘洋; 郭甜; 李璞

西安科技大学

收稿日期:2020-03-19 修回日期:2020-09-03 出版日期:2020-10-22 发布日期:2020-10-23
通讯作者: 李璞 E-mail:597455207@qq.com

Low-complexity transmit antenna selection algorithm for massive MIMO

Li Xinmin, Li Guomin, Liu Yang, Guo Tian, Li Pu, Li Yaru

Xi'an University of Science and Technology

Received:2020-03-19 Revised:2020-09-03 Online:2020-10-22 Published:2020-10-23
Supported by:
the National Natural Science Foundation of China

摘要/Abstract

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.

关键词: massive MIMO, transmit antenna selection, convex optimization

Abstract: 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.

Key words: massive MIMO, transmit antenna selection, convex optimization

中图分类号:

TN929.5

Li Xinmin, Li Guomin, Liu Yang, Guo Tian, Li Pu, Li Yaru. Low-complexity transmit antenna selection algorithm for massive MIMO[J]. The Journal of China Universities of Posts and Telecommunications, 2020, 27(5): 63-68.

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Low-complexity transmit antenna selection algorithm for massive MIMO

Low-complexity transmit antenna selection algorithm for massive MIMO

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