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

• Published in: ICASSP 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
• Language: English
• 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
• DOI: 10.1109/ICASSP.2019.8682872

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.