Uplink Spectral and Energy Efficiency of Cell-Free Massive MIMO with Optimal Uniform Quantization

Manijeh Bashar; Hien Quoc Ngo; Kanapathippillai Cumanan; Alister G Burr; Pei Xiao; Emil Bjornson; Erik G Larsson

doi:10.1109/TCOMM.2020.3028305

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Uplink Spectral and Energy Efficiency of Cell-Free Massive MIMO with Optimal Uniform Quantization

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Uplink Spectral and Energy Efficiency of Cell-Free Massive MIMO with Optimal Uniform Quantization

Manijeh Bashar, Hien Quoc Ngo, Kanapathippillai Cumanan, Alister G Burr, Pei Xiao, Emil Bjornson and Erik G Larsson

IEEE Transactions on Communications, pp.1-1

02/10/2020

DOI: https://doi.org/10.1109/TCOMM.2020.3028305

Abstract

Quantization (signal)

CRAN

Channel estimation

Massive MIMO

Receivers

cell-free massive MIMO

Encoding

Uplink

Bussgang decomposition

quantization

optimal uniform quantization

Energy Efficiency

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 Estimate&Quantize, Quantize&Estimate, 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.

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Title: Uplink Spectral and Energy Efficiency of Cell-Free Massive MIMO with Optimal Uniform Quantization
Creators: Manijeh Bashar - University of Surrey, School of Computer Science and Electronic Engineering
Hien Quoc Ngo - School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, T7 1NN, U.K
Kanapathippillai Cumanan - Department of Electronic Engineering, University of York, York, YO10 5NG, U.K
Alister G Burr - Department of Electronic Engineering, University of York, York, YO10 5NG, U.K
Pei Xiao - University of Surrey, School of Computer Science and Electronic Engineering
Emil Bjornson - Department of Electrical Engineering, Linköping University, Linköping, SE-581 83, Sweden
Erik G Larsson - Department of Electrical Engineering, Linköping University, Linköping, SE-581 83, Sweden
Publication Details: IEEE Transactions on Communications, pp.1-1
Publisher: IEEE
Publication Date: 02/10/2020
Date accepted for publication: 22/09/2020
Identifiers: 99524323102346; WOS:000608689300016
Copyright: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Academic Unit: School of Computer Science and Electronic Engineering
Language: English
Resource Type: Journal article
SDG (Scopus 2023): SDG 7

Uplink Spectral and Energy Efficiency of Cell-Free Massive MIMO with Optimal Uniform Quantization

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