Accelerated Projected Gradient Method for the Optimization of Cell-Free Massive MIMO Downlink

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Title: Accelerated Projected Gradient Method for the Optimization of Cell-Free Massive MIMO Downlink
Authors: Farooq, MuhammadNgo, Hien QuocTran, Le-Nam
Permanent link: http://hdl.handle.net/10197/11906
Date: 3-Sep-2020
Online since: 2021-02-01T17:26:12Z
Abstract: We consider the downlink of a cell-free massive multiple-input multiple-output (MIMO) system where large number of access points (APs) simultaneously serve a group of users. Two fundamental problems are of interest, namely (i) to maximize the total spectral efficiency (SE), and (ii) to maximize the minimum SE of all users. As the considered problems are non-convex, existing solutions rely on successive convex approximation to find a sub-optimal solution. The known methods use off-the-shelf convex solvers, which basically implement an interior-point algorithm, to solve the derived convex problems. The main issue of such methods is that their complexity does not scale favorably with the problem size, limiting previous studies to cell-free massive MIMO of moderate scales. Thus the potential of cell-free massive MIMO has not been fully understood. To address this issue, we propose an accelerated projected gradient method to solve the considered problems. Particularly, the proposed solution is found in closed-form expressions and only requires the first order information of the objective, rather than the Hessian matrix as in known solutions, and thus is much more memory efficient. Numerical results demonstrate that our proposed solution achieves far less run-time, compared to other second-order methods.
Funding Details: Enterprise Ireland
Science Foundation Ireland
University College Dublin
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2020 IEEE
Keywords: MIMO communicationDownlinkPower controlAccelerationTrainingChannel estimation
DOI: 10.1109/pimrc48278.2020.9217298
Other versions: https://pimrc2020.ieee-pimrc.org/
Language: en
Status of Item: Peer reviewed
Is part of: 2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications
Conference Details: The 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, Virtual Conference, 31st August - 3 September 2020
ISBN: 978-1-7281-4490-0
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Electrical and Electronic Engineering Research Collection

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