首页|Low-complexity transmit antenna selection algorithm for massive MIMO

Low-complexity transmit antenna selection algorithm for massive MIMO

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
  • 维普
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.

massive MIMOtransmit antenna selectionconvex optimization

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

展开 >

School of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an 710054, China

School of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an 710054, China

This work was supported by the National Natural Science Foundation of China

61801371

2020

10.19682/j.cnki.1005-8885.2020.0029

中国邮电高校学报(英文版)
北京邮电大学

中国邮电高校学报(英文版)

CSCDEI
影响因子：0.419
ISSN：1005-8885
年,卷(期)：2020.27(5)
  • 2