北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2017, Vol. 40 ›› Issue (3): 56-61,84.doi: 10.13190/j.jbupt.2017.03.007

• 论文 • 上一篇    下一篇

低复杂度大规模MIMO系统联合天线选择与用户调度波束成形

申滨, 王倩, 华权, 周应超   

  1. 重庆邮电大学 移动通信重点实验室, 重庆 400065
  • 收稿日期:2016-09-12 出版日期:2017-06-28 发布日期:2017-05-25
  • 作者简介:申滨(1978-),男,教授,E-mail:shenbin@cqupt.edu.cn.
  • 基金资助:
    国家科技重大专项(2016ZX03001010-004)

Low-Complexity Joint Antenna Selection and User Scheduling Beamforming for Massive MIMO Systems

SHEN Bin, WANG Qian, HUA Quan, ZHOU Ying-chao   

  1. Chongqing Key Laboratory of Mobile Communications, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
  • Received:2016-09-12 Online:2017-06-28 Published:2017-05-25

摘要: 针对大规模多输入多输出(MIMO)系统硬件复杂度较高以及基站所能支持的最大用户数受基站天线数影响的问题,提出一种计算复杂度较低的适应于大规模MIMO系统下行链路的联合天线选择与递减用户调度算法,通过移除"差"的天线和用户来最大化系统总速率,降低基站所需配置的射频链路数.仿真结果证明,该方案能够在保证系统性能的前提下大幅度降低系统硬件复杂度.

关键词: 大规模多输入多输出系统, 天线选择, 用户调度, 硬件复杂度

Abstract: A joint antenna selection and decremental user scheduling algorithm was given to solve the problem on high hardware complexity, and the maximum number of users affected by base station antennas for massive multiple-input multiple-output system was discussed. The scheme is to maximize the sum rate and reduce the number of radio frequency chains by removing the worst antennas and users. Simulations show that the proposed scheme can greatly lower the hardware complexity on the premise of guaranteeing the system performance.

Key words: massive multiple-input multiple-output, antenna selection, user scheduling, hardware complexity

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