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Title: Game-theoretic beamforming techniques for multiuser multi-cell networks under mixed QoS constraints
Authors: Basutli, Bokamoso
Lambotharan, Sangarapillai
Issue Date: 2017
Publisher: © The authors. Published by Institution of Engineering and Technology (IET)
Citation: BASTULI, B. and LAMBOTHARAN, S., 2017. Game-theoretic beamforming techniques for multiuser multi-cell networks under mixed QoS constraints. IET Signal Processing, 11 (5), pp.631-639.
Abstract: We propose a game-theoretic approach for the downlink beamformer design for a multiuser multi-cell wireless network under a mixed quality of services criterion. The network has real time users that must attain a specific set of signal-to-interference-plus-noise ratios, and non-real time users whose signal-to-interference-plus-noise ratios should be balanced and maximized. We propose a mixed QoS strategic noncooperative game wherein base stations determine their downlink beamformers in a fully distributed manner. In the case of infeasibility, we have proposed a fall back mechanism which converts the problem to a pure max-min optimization. We further propose the mixed QoS bargain game to improve the Nash equilibrium operating point through Egalitarian and Kalai-Smorodinsky bargaining solutions. We have shown that the results of bargaining games are comparable to that of the optimal solutions.
Description: This is an Open Access Article. It is published by IET under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/
Sponsor: The authors wish to acknowledge the support of the Department of Tertiary Education Financing (DTEF) in Botswana, the Botswana International University of Science and Technology (BIUST) and the Engineering and Physical Science Research Council of the UK, EPSRC, under the grant EP/M015475.
Version: Published
DOI: 10.1049/iet-spr.2016.0192
URI: https://dspace.lboro.ac.uk/2134/24404
Publisher Link: http://dx.doi.org/10.1049/iet-spr.2016.0192
ISSN: 1751-9675
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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