Max-Min Optimal Beamforming for Cell-Free Massive MIMO

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...

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Bibliographic Details
Published inarXiv.org
Main Authors Zhou, Andong, Wu, Jingxian, Larsson, Erik G, Fan, Pingzhi
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 10.06.2020
Subjects
Beamforming
MIMO (control systems)
Optimization
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Summary: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.
ISSN:2331-8422
DOI:10.48550/arxiv.2006.05598