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Low-Complexity Joint User and Beam Selection for Beamspace mmWave MIMO Systems
IEEE Communications Letters ( IF 4.1 ) Pub Date : 2020-09-01 , DOI: 10.1109/lcomm.2020.2995400
Zhenqiao Cheng , Zaixue Wei , Hongwen Yang

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.

中文翻译:

波束空间毫米波 MIMO 系统的低复杂度联合用户和波束选择

波束选择可以减轻透镜阵列辅助毫米波 (mmWave) 多输入多输出 (MIMO) 系统中对射频 (RF) 链数量的要求。这封信调查了多用户离散透镜阵列 (DLA) 通信系统中联合用户和光束选择的性能。为了获得最大吞吐量,我们联合优化波束选择和用户选择。具体而言,基于稳定匹配和贪婪搜索制定了两种算法,以找到用户和波束的适当子集。仿真结果表明,所提出的方法可以获得与基于穷举搜索的方法几乎相同的性能,但复杂度要低得多。
更新日期:2020-09-01
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