A Fair and Scalable Power Control Scheme in Multi-Cell Massive MIMO
2019 (English)In: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers (IEEE) , 2019, p. 4499-4503Conference paper, Published paper (Refereed)
Abstract [en]
This paper studies the transmit power optimization in a multi-cell massive multiple-input multiple-output (MIMO) system. To overcome 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-PE) PC as well. The NW-PE 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-PE and NW-MMF.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2019. p. 4499-4503
Series
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keywords [en]
Massive MIMO, power control, max-min fairness, proportional fairness
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-295865DOI: 10.1109/ICASSP.2019.8682872ISI: 000482554004147Scopus ID: 2-s2.0-85068958510OAI: oai:DiVA.org:kth-295865DiVA, id: diva2:1664672
Conference
44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), MAY 12-17, 2019, Brighton, ENGLAND
Note
Part of ISBN 978-1-4799-8131-1
QC 20220620
2022-06-042022-06-042024-03-11Bibliographically approved