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Game-theoretic beamforming techniques for multiuser multi-cell networks under mixed QoS constraints

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journal contribution
posted on 14.03.2017, 09:40 by Bokamoso Basutli, Sangarapillai Lambotharan
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.

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 Processing

Volume

11

Issue

5

Pages

631-639

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.

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

12/01/2017

Publication date

2017-02-24

Notes

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

1751-9675

Language

en

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