A Fair and Scalable Power Control Scheme in Multi-cell Massive MIMO

This paper studies the transmit power optimization in a multi-cell massive multiple-input multiple-output (MIMO) system. To over-come the scalability issue of network-wide max-min fairness (NW-MMF), we propose a novel power control (PC) scheme. This scheme maximizes the geometric mean (GM) of the pe...

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Bibliographic Details
Published inICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 4499 - 4503
Main Authors Ghazanfari, Amin, Cheng, Hei Victor, Bjornson, Emil, Larsson, Erik G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2019
Subjects
Data communication
Fading channels
Interference
Massive MIMO
max-min fairness
MIMO communication
Optimization
Power control
proportional fairness
Signal to noise ratio
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Summary:This paper studies the transmit power optimization in a multi-cell massive multiple-input multiple-output (MIMO) system. To over-come the scalability issue of network-wide max-min fairness (NW-MMF), we propose a novel power control (PC) scheme. This scheme maximizes the geometric mean (GM) of the per-cell max-min spectral efficiency (SE). To solve this new optimization problem, we prove that it can be rewritten in a convex form and then solved using standard tools. To provide a fair comparison with the available utility functions in the literature, we solve the network-wide proportional fairness (NW-PF) PC as well. The NW-PF focuses on maximizing the sum SE, thereby ignoring fairness, but gives some extra attention to the weakest users. The simulation results highlight the benefits of our model which is balancing between NW-PF and NW-MMF.
ISSN:2379-190X
DOI:10.1109/ICASSP.2019.8682872