Max-Min Optimal Beamforming for Cell-Free Massive MIMO

被引：21
|
作者：
Zhou, Andong [1 ]
Wu, Jingxian [1 ]
Larsson, Erik G. [2 ]
Fan, Pingzhi [3 ]
机构：
[1] Univ Arkansas, Dept Elect Engn, Fayetteville, AR 72701 USA
[2] Linkoping Univ, Dept Elect Engn ISY, S-58183 Linkoping, Sweden
[3] Southwest Jiaotong Univ, Inst Mobile Commun, Chengdu 611756, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2020年 / 24卷 / 10期
基金：
美国国家科学基金会;
关键词：
Downlink; Channel estimation; Array signal processing; Massive MIMO; Signal to noise ratio; Interference; Uplink; Cell-free massive MIMO; optimum beamforming; power control;
D O I：
10.1109/LCOMM.2020.3000067
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
This letter develops an optimum beamforming method for downlink transmissions in cell-free massive multiple-input multiple-output (MIMO) systems, which employ a massive number of distributed access points to provide concurrent services to multiple users. The optimum design is formulated as a max-min problem that maximizes the minimum signal-to-interference-plus-noise ratio of all users. It is shown analytically that the problem is quasi-concave, and the optimum solution is obtained with the second-order cone programming. The proposed method identifies the best achievable beamforming performance in cell-free massive MIMO systems. The results can be used as benchmarks for the design of practical low complexity beamformers.
引用
收藏
页码：2344 / 2348
页数：5
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