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

B. Basutli, S. Lambotharan

Research output: Contribution to journalArticle

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. © 2017, The Institution of Engineering and Technology.
Original languageEnglish
Pages (from-to)631-639
Number of pages9
JournalIET Signal Processing
Volume11
Issue number5
DOIs
Publication statusPublished - 2017

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Beamforming
Quality of service
Base stations
Wireless networks

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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. {\circledC} 2017, The Institution of Engineering and Technology.",
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Game-theoretic beamforming techniques for multiuser multi-cell networks under mixed quality of service constraints. / Basutli, B.; Lambotharan, S.

In: IET Signal Processing, Vol. 11, No. 5, 2017, p. 631-639.

Research output: Contribution to journalArticle

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AU - Lambotharan, S.

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