Bashar, Manijeh, Cumanan, Kanapathippillai orcid.org/0000-0002-9735-7019, Burr, Alister Graham orcid.org/0000-0001-6435-3962 et al. (2 more authors) (2019) On the Uplink Max-Min SINR of Cell-Free Massive MIMO Systems. IEEE Transactions on Wireless Communications. 2021 - 2036. ISSN 1536-1276
Abstract
A cell-free Massive multiple-input multiple-output (MIMO) system is considered using a max-min approach to maximize the minimum user rate with per-user power constraints. First, an approximated uplink user rate is derived based on channel statistics. Then, the original max-min signalto- interference-plus-noise ratio (SINR) problem is formulated for optimization of receiver filter coefficients at a central processing unit (CPU), and user power allocation. To solve this max-min non-convex problem, we decouple the original problem into two sub-problems, namely, receiver filter coefficient design and power allocation. The receiver filter coefficient design is formulated as a generalized eigenvalue problem whereas geometric programming (GP) is used to solve the user power allocation problem. Based on these two sub-problems, an iterative algorithm is proposed, in which both problems are alternately solved while one of the design variables is fixed. This iterative algorithm obtains a globally optimum solution, whose optimality is proved through establishing an uplink-downlink duality. Moreover, we present a novel sub-optimal scheme which provides a GP formulation to efficiently and globally maximize the minimum uplink user rate. The numerical results demonstrate that the proposed scheme substantially outperforms existing schemes in the literature.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Keywords: | Cell-free Massive MIMO,max-min resource allocation,geometric programming,uplink-downlink duality,convex optimization,generalized eigenvalue problem |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 20 Dec 2018 13:10 |
Last Modified: | 19 Feb 2025 00:08 |
Published Version: | https://doi.org/10.1109/TWC.2019.2892463 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1109/TWC.2019.2892463 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140268 |