Fast Adaptive Minorization-Maximization Procedure for Beamforming Design of Downlink NOMA Systems
|Title:||Fast Adaptive Minorization-Maximization Procedure for Beamforming Design of Downlink NOMA Systems||Authors:||Lyons, Oisin; Hanif, Muhammad Fainan; Juntti, Markku; Tran, Le-Nam||Permanent link:||http://hdl.handle.net/10197/11903||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:||Transportation; NOMA; Array signal processing; Downlink; 5G mobile communication; Linear programming; MISO communication; Acceleration; 5G; Algorithm acceleration||DOI:||10.1109/TVT.2020.2993987||Language:||en||Status of Item:||Peer reviewed||ISSN:||0018-9545||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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