Game-theoretic beamforming techniques for multiuser multi-cell networks under mixed quality of service constraints

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Publication Details

Author list: Basutli B, Lambotharan S

Publisher: Wiley Open Access

Place: HERTFORD

Publication year: 2017

Journal acronym: IET SIGNAL PROCESS

Volume number: 11

Issue number: 5

Start page: 631

End page: 639

Number of pages: 9

ISSN: 1751-9675

eISSN: 1751-9683

Languages: English-Great Britain (EN-GB)


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Abstract

The authors propose a game-theoretic approach for the downlink beamformer design for a multiuser multi-cell wireless network under a mixed quality of services (QoS) criterion. The network has real time users (RTUs) that must attain a specific set of signal-to-interference-plus-noise ratios (SINRs), and non-RTUs whose SINRs should be balanced and maximised. They propose a mixed QoS strategic non-cooperative game wherein base stations determine their downlink beamformers in a fully distributed manner. In the case of infeasibility, they have proposed a fallback mechanism which converts the problem to a pure max-min optimisation. They further propose the mixed QoS bargain game to improve the Nash equilibrium operating point through Egalitarian and Kalai-Smorodinsky bargaining solutions. They have shown that the results of bargaining games are comparable to that of the optimal solutions.


Keywords

array signal processing, base station, cellular radio, downlink beamformer design, Egalitarian bargaining game, fallback mechanism, game-theoretic beamforming technique, Game theory, Kalai-Smorodinsky bargaining game, max-min optimisation, minimax techniques, mixed QoS bargain game, mixed QoS strategic noncooperative game, mixed quality of service constraint, multiuser multicell wireless network, Nash equilibrium operating point improvement, quality of service, real time users, signal-to-interference-plus-noise ratio, SINR


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Last updated on 2023-31-07 at 00:44