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基于联合用户分组及天线选择的大规模MIMO波束成形
Joint user grouping and antenna selection based massive MIMO beamforming
- 电信科学 2016年32卷第8期 页码：61-68
- 作者机构：
- 作者简介：
[ "王倩（1989-），女，重庆邮电大学硕士生，主要研究方向为大规模 MIMO 系统波束成形技术。" ]
[ "华权（1991-），男，重庆邮电大学硕士生，主要研究方向为大规模 MIMO 系统信号检测。" ]
[ "周应超（1991-），男，重庆邮电大学硕士生，主要研究方向为大规模MIMO 系统波束成形技术。" ]
[ "申滨（1978-），男，博士，重庆邮电大学教授，主要研究方向为认知无线电下频谱感知、大规模MIMO系统关键技术等。" ]
- 基金信息：国家科技重大专项基金资助项目;National Science and Technology Major Special Project of China(2015ZX03001033-002)
DOI：10.11959/j.issn.1000-0801.2016194
中图分类号： TN929.5-
网络出版日期：2016-08，
纸质出版日期：2016-08-20
- 稿件说明：
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王倩, 华权, 周应超, 等. 基于联合用户分组及天线选择的大规模MIMO波束成形[J]. 电信科学, 2016,32(8):61-68.
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.
王倩, 华权, 周应超, 等. 基于联合用户分组及天线选择的大规模MIMO波束成形[J]. 电信科学, 2016,32(8):61-68. DOI： 10.11959/j.issn.1000-0801.2016194.
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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