Bashar, Manijeh, Ngo, Hien Quoc, Cumanan, Kanapathippillai orcid.org/0000-0002-9735-7019 et al. (4 more authors) (2021) Uplink Spectral and Energy Efficiency of Cell-Free Massive MIMO with Optimal Uniform Quantization. IEEE Transactions on Communications. 9212395. pp. 223-245. ISSN 0090-6778
Abstract
This paper investigates the performance of limited-fronthaul cell-free massive multiple-input multiple-output (MIMO) taking account the fronthaul quantization and imperfect channel acquisition. Three cases are studied, which we refer to as EstimateQuantize, QuantizeEstimate, and Decentralized, according to where channel estimation is performed and exploited. Maximum-ratio combining (MRC), zero-forcing (ZF), and minimum mean-square error (MMSE) receivers are considered. The Max algorithm and the Bussgang decomposition are exploited to model optimum uniform quantization. Exploiting the optimal step size of the quantizer, analytical expressions for spectral and energy efficiencies are presented. Finally, an access point (AP) assignment algorithm is proposed to improve the performance of the decentralized scheme. Numerical results investigate the performance gap between limited fronthaul and perfect fronthaul cases, and demonstrate that exploiting relatively few quantization bits, the performance of limited-fronthaul cell-free massive MIMO closely approaches the perfect-fronthaul performance.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | 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: | Bussgang decomposition,C-RAN,cell-free massive MIMO,energy efficiency,optimal uniform quantization,quantization |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Funding Information: | Funder Grant number EPSRC EP/K040006/1 |
Depositing User: | Pure (York) |
Date Deposited: | 05 Mar 2021 09:40 |
Last Modified: | 21 Jan 2025 17:52 |
Published Version: | https://doi.org/10.1109/TCOMM.2020.3028305 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1109/TCOMM.2020.3028305 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:171842 |