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Game-Theoretic Social-Aware Resource Allocation for Device-to-Device Communications Underlaying Cellular Network

机译:用于设备到设备通信的游戏理论社交意识资源分配介绍蜂窝网络

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摘要

Device-to-Device communication underlaying cellular network can increase the spectrum efficiency due to direct proximity communication and frequency reuse. However, such performance improvement is influenced by the power interference caused by spectrum sharing and social characteristics in each social community jointly. In this investigation, we present a dynamic game theory with complete information based D2D resource allocation scheme for D2D communication underlaying cellular network. In this resource allocation method, we quantify both the rate influence from the power interference caused by the D2D transmitter to cellular users and rate enhancement brought by the social relationships between mobile users. Then, the utility function maximization game is formulated to optimize the overall transmission rate performance of the network, which synthetically measures the final influence from both power interference and sociality enhancement. Simultaneously, we discuss the Nash Equilibrium of the proposed utility function maximization game from a theoretical point of view and further put forward a utility priority searching algorithm based resource allocation scheme. Simulation results show that our proposed scheme attains better performance compared with the other two advanced proposals.
机译:设备到设备通信下层蜂窝网络可以增加由于直接接近通信和频率重用而导致的频谱效率。然而,这种性能改善受到每个社会社区中的频谱共享和社会特征引起的电力干扰的影响。在这次调查中,我们提出了一种具有完整信息基于信息的D2D资源分配方案的动态博弈论,用于D2D通信底层蜂窝网络。在该资源分配方法中,我们量化由D2D发射机引起的电力干扰到蜂窝用户的速率影响以及移动用户之间的社交关系所带来的速率增强。然后,公用事业函数最大化游戏被配制成优化网络的整体传输速率性能,该性能合成衡量功率干扰和社会性增强的最终影响。同时,我们从理论的角度讨论所提出的实用程序函数最大化游戏的纳什均衡,并进一步提出了一种基于实用优先搜索算法的资源分配方案。仿真结果表明,与其他两个先进建议相比,我们的拟议方案达到了更好的表现。

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