Base Station Selection for Massive MIMO Networks With Two-Stage Precoding

被引：11
|
作者：
Ma, Jianpeng [1 ]
Zhang, Shun [1 ]
Li, Hongyan [1 ]
Zhao, Nan [2 ]
Leung, Victor C. M. [3 ]
机构：
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
[2] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
[3] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2017年 / 6卷 / 05期
基金：
美国国家科学基金会;
关键词：
Massive MIMO; BS selection; two-stage precoding; signal-to-leakage-plus-noise ratio;
D O I：
10.1109/LWC.2017.2720662
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Two-stage precoding has been proposed to reduce the overhead of both the channel training and the channel state information feedback in massive multiple-input multiple-output systems. But the overlap of the angle-spreading-ranges (ASR) for different user clusters may seriously degrade the performance of two-stage precoding. In this letter, we propose an ASR overlap mitigating scheme through the base station (BS) selection. First, the BS selection is formulated as a sum signal-to-interference-plus-noise ratio maximization problem. Then, the problem is solved by a low-complex algorithm through maximizing the signal-to-leakage-plus-noise ratio (SLNR). In addition, we propose a low-overhead algorithm with the lower bound on the average SLNR as the objective function. Finally, we demonstrate the efficacy of the proposed schemes through numerical simulations.
引用
收藏
页码：598 / 601
页数：4
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