Joint user grouping and antenna selection based massive MIMO beamforming

Qian WANG; Quan HUA; Yingchao ZHOU; Bin SHEN

doi:10.11959/j.issn.1000-0801.2016194

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Joint user grouping and antenna selection based massive MIMO beamforming

research and development | 更新时间：2024-06-05

- Joint user grouping and antenna selection based massive MIMO beamforming
- Telecommunications Science Vol. 32, Issue 8, Pages: 61-68(2016)
- 作者机构：
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- DOI：10.11959/j.issn.1000-0801.2016194
  CLC： TN929.5
- Published Online：2016-08，
  
  Published：20 August 2016
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Qian WANG, Quan HUA, Yingchao ZHOU, et al. Joint user grouping and antenna selection based massive MIMO beamforming[J]. Telecommunications science, 2016, 32(8): 61-68.
DOI：

Qian WANG, Quan HUA, Yingchao ZHOU, et al. Joint user grouping and antenna selection based massive MIMO beamforming[J]. Telecommunications science, 2016, 32(8): 61-68. DOI： 10.11959/j.issn.1000-0801.2016194.

摘要

大规模MIMO系统中，当小区用户数与基站天线数较大时，各用户的信道条件不尽相同，提出一种适用于大规模MIMO下行链路的基于联合用户分组及天线选择的迫零波束成形算法。将用户分成两组，选择信道条件较优的一组用户来接收信号，并为每一个发送数据流选择最优的基站天线组合进行通信，以较小的性能损失，换取大规模MIMO 射频电路的成本与功耗的大幅度降低。仿真结果证明，该算法能够较好地实现系统性能与硬件复杂度的折中。

Abstract

In massive MIMO systems，when the number of users is larger as that of antennas at base station（BS），the various channels may be significantly different.A new zero-forcing beamformer design algorithm was proposed based on joint user grouping and antenna selection for massive MIMO dowlink systems.All users were divided into two groups and then the group of users with a better channel condition was selected to receive signal with selecting an optimal antenna combination for each transmit data stream，in order that RF circuit cost and power consumption could be reduced substantially with a little loss of performance in massive MIMO systems.The simulation results show that the proposed algorithm provides a better trade-off between rate performance and hardware complexity in massive MIMO system.

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references

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