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A non-cooperative game theoretic approach for power allocation in intersatellite communication

机译:跨职业通信中电力分配的非合作博弈论方法

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Static interference management techniques to enable multiple access intersatellite communication in small satellite networks can be inefficient noting the unpredictable variations in network conditions. Game Theory (GT) is a powerful mathematical tool to model the interactions among the cognitive small satellites to observe the network variations as well as actions of other satellites and make the best decisions to optimize their performance. In this paper, a network of multiple slave satellites that want to communicate with a single master satellite over an interference channel is considered. We propose a distributed power allocation mechanism using a non-cooperative game theoretic model to enable the slave satellites to select the optimal power strategy to reduce the interference level and maximize their utility functions. Using a pricing algorithm to control the aggressive behavior of the players of the game, the optimum pricing factor for the system and the optimal values of the power for slave satellites are defined. To the best of our knowledge, this paper is the first one to propose a decentralized power allocation mechanism in autonomous small satellite networks using a game theoretic model. The simulation results show the performance of this proposed model in enhancing the network sum-throughput.
机译:静态干扰管理技术以小型卫星网络中的多次访问跨特拉替伦泰通信可以低效,注意网络条件中不可预测的变化。博弈论(GT)是一种强大的数学工具,可以模拟认知小卫星之间的交互来观察网络变化以及其他卫星的动作,并做出最佳决策以优化其性能。在本文中,考虑了一种希望通过干扰通道与单个主卫星通信的多个从卫星网络的网络。我们提出了一种使用非协作游戏理论模型的分布式电力分配机制,使得从卫星能够选择最佳功率策略以降低干扰水平并最大化其实用程序功能。使用定价算法来控制游戏玩家的激进行为,定义了系统的最佳定价因素和从卫星电源的最佳值。据我们所知,本文是第一个使用游戏理论模型提出自动小型卫星网络中分散功率分配机制的文件。仿真结果表明了该建议模型在增强网络和吞吐量方面的性能。

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