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Max-Min Rate of Cell-Free Massive MIMO Uplink with Optimal Uniform Quantization

Bashar, Manijeh, Cumanan, Kanapathippillai, Burr, Alister G, Ngo, Hien Quoc and Xiao, Pei (2019) Max-Min Rate of Cell-Free Massive MIMO Uplink with Optimal Uniform Quantization IEEE TRANSACTIONS ON COMMUNICATIONS.

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Abstract

Cell-free Massive multiple-input multiple-output (MIMO) is considered, where distributed access points (APs) multiply the received signal by the conjugate of the estimated channel, and send back a quantized version of this weighted signal to a central processing unit (CPU). For the first time, we present a performance comparison between the case of perfect fronthaul links, the case when the quantized version of the estimated channel and the quantized signal are available at the CPU, and the case when only the quantized weighted signal is available at the CPU. The Bussgang decomposition is used to model the effect of quantization. The max-min problem is studied, where the minimum rate is maximized with the power and fronthaul capacity constraints. To deal with the non-convex problem, the original problem is decomposed into two sub-problems (referred to as receiver filter design and power allocation). Geometric programming (GP) is exploited to solve the power allocation problem whereas a generalized eigenvalue problem is solved to design the receiver filter. An iterative scheme is developed and the optimality of the proposed algorithm is proved through uplink-downlink duality. A user assignment algorithm is proposed which significantly improves the performance. Numerical results demonstrate the superiority of the proposed schemes.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Bashar, Manijehm.bashar@surrey.ac.uk
Cumanan, Kanapathippillai
Burr, Alister G
Ngo, Hien Quoc
Xiao, PeiP.Xiao@surrey.ac.uk
Date : 22 June 2019
Funders : H2020-MSCARISE-2015, UK Research and Innovation Future Leaders Fellowships, H2020-ICT-2016-2 call, UK Engineering and Physical Sciences Research Council (EPSRC)
Copyright Disclaimer : © 2019 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.
Uncontrolled Keywords : Cell-free Massive MIMO; Generalized eigenvalue; Geometric programming; Limited fronthaul
Depositing User : Diane Maxfield
Date Deposited : 04 Jul 2019 11:44
Last Modified : 08 Jul 2019 00:32
URI: http://epubs.surrey.ac.uk/id/eprint/852205

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