Fast Adaptive Minorization-Maximization Procedure for Beamforming Design of Downlink NOMA Systems

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Title: Fast Adaptive Minorization-Maximization Procedure for Beamforming Design of Downlink NOMA Systems
Authors: Lyons, OisinHanif, Muhammad FainanJuntti, MarkkuTran, Le-Nam
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Date: Jul-2020
Online since: 2021-02-01T17:11:12Z
Abstract: We develop a novel technique to accelerate minorization-maximization (MM) procedure for the non-orthogonal multiple access (NOMA) weighted sum rate maximization problem. Specifically, we exploit the Lipschitz continuity of the gradient of the objective function to adaptively update the MM algorithm. With fewer additional analysis variables and low complexity second-order cone program (SOCP) to solve in each iteration of the MM algorithm, the proposed approach converges quickly at a small computational cost. By numerical simulation results, our algorithm is shown to greatly outperform known solutions in terms of achieved sum rates and computational complexity.
Funding Details: Science Foundation Ireland
Funding Details: Academy of Finland
Type of material: Journal Article
Publisher: IEEE
Journal: IEEE Transactions on Vehicular Technology
Volume: 69
Issue: 7
Start page: 8023
End page: 8027
Copyright (published version): 2020 IEEE
Keywords: TransportationNOMAArray signal processingDownlink5G mobile communicationLinear programmingMISO communicationAcceleration5GAlgorithm acceleration
DOI: 10.1109/TVT.2020.2993987
Language: en
Status of Item: Peer reviewed
ISSN: 0018-9545
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Appears in Collections:Electrical and Electronic Engineering Research Collection

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