Max-Min Fairness Power Allocation in Uplink RIS-Aided Cell-Free Massive MIMO
- Authors
- Tran, Thong-Nhat; Interdonato, Giovanni; Da Costa, Daniel Benevides; An, Beongku
- Issue Date
- 2023
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Cell-free massive MIMO; max-min fairness power control; reconfigurable intelligent surface; spectral efficiency
- Citation
- 2023 IEEE Globecom Workshops, GC Wkshps 2023, pp 726 - 731
- Pages
- 6
- Journal Title
- 2023 IEEE Globecom Workshops, GC Wkshps 2023
- Start Page
- 726
- End Page
- 731
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/33072
- DOI
- 10.1109/GCWkshps58843.2023.10465078
- ISSN
- 0000-0000
- Abstract
- This paper evaluates the uplink spectral efficiency (SE) achieved by a reconfigurable intelligent surface (RIS)-aided cell-free massive MIMO system with max-min fairness (MMF) power allocation. We provide an exact closed-form expression for an achievable SE expression which assumes maximum ratio receive combining at the access points (APs) and centralized large-scale fading decoding at the central processing unit. The derived SE expression also accounts for imperfect channel estimation and spatially correlated Ricean fading channels for both direct (APs-users) and cascaded (APs-RISs-users) links. Alongside this, we provide a generalized SE expression and evaluate the performance achieved by local partial minimum mean-squared error combining. Finally, we optimally solve the RIS phase-shift selection problem in order to maximize the aggregate channel gains, and derive a closed-form solution to the MMF power allocation problem. Simulation results validate the effectiveness of the proposed framework in enhancing the unlink SE with resnect to various benchmarks. © 2023 IEEE.
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