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Game-theoretic beamforming techniques for multiuser multi-cell networks under mixed QoS constraints
journal contribution
posted on 2017-03-14, 09:40 authored by Bokamoso Basutli, Sangarapillai LambotharanSangarapillai LambotharanWe 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.
Funding
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.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
IET Signal ProcessingVolume
11Issue
5Pages
631-639Citation
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.Publisher
© The authors. Published by Institution of Engineering and Technology (IET)Version
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/Acceptance date
2017-01-12Publication date
2017-02-24Notes
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/ISSN
1751-9675Publisher version
Language
- en