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Quality-Of-Service Provisioning in Decentralized Networks: A Satisfaction Equilibrium Approach

机译:分散网络中的服务质量供应:满意度均衡方法

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This paper introduces a particular game formulation and its corresponding notion of equilibrium, namely the satisfaction form (SF) and the satisfaction equilibrium (SE). A game in SF models the case where players are uniquely interested in the satisfaction of some individual performance constraints, instead of individual performance optimization. Under this formulation, the notion of equilibrium corresponds to the situation where all players can simultaneously satisfy their individual constraints. The notion of SE, models the problem of QoS provisioning in decentralized self-configuring networks. Here, radio devices are satisfied if they are able to provide the requested QoS. Within this framework, the concept of SE is formalized for both pure and mixed strategies considering finite sets of players and actions. In both cases, sufficient conditions for the existence and uniqueness of the SE are presented. When multiple SE exist, we introduce the idea of effort or cost of satisfaction and we propose a refinement of the SE, namely the efficient SE (ESE). At the ESE, all players adopt the action which requires the lowest effort for satisfaction. A learning method that allows radio devices to achieve a SE in pure strategies in finite time and requiring only one-bit feedback is also presented. Finally, a power control game in the interference channel is used to highlight the advantages of modeling QoS problems following the notion of SE rather than other equilibrium concepts, e.g., generalized Nash equilibrium.
机译:本文介绍了一种特殊的博弈公式及其相应的均衡概念,即满意度形式(SF)和满意度均衡(SE)。 SF中的游戏模拟了玩家对满足某些个人性能约束而不是个人性能优化的独特兴趣的情况。根据这种表述,均衡的概念对应于所有参与者都可以同时满足其各自约束的情况。 SE的概念模拟了分散式自配置网络中QoS设置的问题。在此,如果无线电设备能够提供所请求的QoS,则它们会得到满足。在此框架内,考虑到有限的参与者和行动,SE的概念被正式化为纯策略和混合策略。在这两种情况下,都为SE的存在和唯一性提供了充分的条件。当存在多个SE时,我们引入工作量或满足成本的想法,并提出SE的改进,即有效SE(ESE)。在ESE中,所有参与者都采取需要付出最少努力才能获得满足的行动。还提出了一种学习方法,该方法允许无线电设备在有限时间内以纯策略实现SE,并且仅需要一位反馈。最后,干扰信道中的功率控制博弈被用来强调遵循SE而不是其他均衡概念(例如广义Nash均衡)的概念来建模QoS问题的优势。

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