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Combating Jamming in Wireless Networks: A Bayesian Game with Jammer’s Channel Uncertainty

机译:对抗无线网络中的干扰:具有干扰器频道不确定性的贝叶斯游戏

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Due to the shared and open-access nature of the wireless medium, wireless networks are vulnerable to jamming attacks. In this paper we study the problem of resource assigning in a single carrier communication system, where a user is communicating with a destination in the presence of a jammer. The jammer's channel to the destination is assumed flat fading, and its gain is known in probabilistic terms. In particular, the jammer's channel gain could take any value out of a finite set, with an a priori known probability. We model the problem in a Bayesian jamming game framework with utility the user throughput. We prove the existence and uniqueness of Nash and Stackelberg equilibria, and derive the equilibrium strategies in closed form. Our theoretical results, also supported by simulations, suggest that the Nash strategy is more sensitive to varying a priori probabilities, as compared to the Stackelberg strategy.
机译:由于无线介质的共享和开放访问性质,无线网络容易受到干扰攻击。在本文中,我们研究了单载波通信系统中的资源分配问题,在该系统中,用户在存在干扰的情况下与目的地进行通信。干扰源到目的地的信道被假定为平坦衰落,其增益以概率术语已知。特别地,干扰器的信道增益可以具有先验已知概率的有限集合中的任何值。我们使用用户吞吐量实用程序在贝叶斯干扰游戏框架中对问题进行建模。我们证明了纳什和斯塔克尔伯格均衡的存在性和唯一性,并以封闭形式导出了均衡策略。我们的理论结果(也得到仿真的支持)表明,与Stackelberg策略相比,纳什策略对先验概率的变化更为敏感。

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