Game-theoretic beamforming techniques for multiuser multi-cell networks under mixed quality of service constraints
Game-theoretic beamforming techniques for multiuser multi-cell networks under mixed quality of service constraints
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DOI：
10.1049/iet-spr.2016.0192
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发表时间：
2017-02
期刊：
影响因子：
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通讯作者：
Bokamoso Basutli;S. Lambotharan
中科院分区：
文献类型：
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作者：
Bokamoso Basutli;S. Lambotharan
我们提出了一种博弈论方法，用于混合服务质量标准下多用户多小区无线网络的下行链路波束形成器设计。网络中的实时用户必须达到一组特定的信号与干扰加噪声比，而非实时用户的信号与干扰加噪声比应平衡并最大化。我们提出了一种混合 QoS 策略非合作博弈，其中基站以完全分布式的方式确定其下行链路波束形成器。在不可行的情况下，我们提出了一种回退机制，将问题转换为纯粹的最大最小优化。我们进一步提出混合 QoS 讨价还价博弈，通过平等主义和 Kalai-Smorodinsky 讨价还价解决方案来提高纳什均衡操作点。我们已经证明讨价还价博弈的结果与最优解决方案的结果相当。
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.