Low-Complexity Joint User and Beam Selection for Beamspace mmWave MIMO Systems

被引：22

作者：

Cheng, Zhenqiao ^{[1
]}

Wei, Zaixue ^{[1
]}

Yang, Hongwen ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Sch Informat & Commun Engn, Beijing 100876, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2020年 / 24卷 / 09期

关键词：

MIMO communication; Radio frequency; Lenses; Interference; Antenna arrays; Complexity theory; Precoding; Beam selection; lens antenna arrays; massive MIMO; mmWave; user selection; MASSIVE MIMO;

D O I：

10.1109/LCOMM.2020.2995400

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Beam selection can alleviate the requirement on the number of radio frequency (RF) chains in lens array-assisted millimeter Wave (mmWave) multiple-input multiple-output (MIMO) systems. This letter investigates the performance of joint user and beam selection in a multi-user discrete lens arrays (DLA) communication system. To reap the maximum throughput, we jointly optimize the beam selection and user selection. Specifically, two algorithms are formulated based on stable matching and greedy search in order to find a proper subset of users and beams. Simulation results show that the proposed methods can achieve almost the same performance as the exhaustive-search-based method but involve much lower complexity.

引用

页码：2065 / 2069

页数：5

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