CG-D2D: Cooperative Game Theory based Resource optimization for D2D Communication in 5G Wireless Network

Subhankar Ghosh, D. De
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引用次数: 6

Abstract

Device-to-Device (D2D) communication have paved the way for resource allocation among a large number of wireless devices. A cooperative game theory based resource allocation in D2D communication for 5G wireless network is discussed in this article. Nearby devices combine to form a cluster and exchange data between themselves. Due to the short distance between the devices into the cluster, the amount of data loss between them is much less. In CG-D2D, a utility function and two algorithms are proposed through which spectrum manager allocate the resources between devices in the cluster and allocate the resources among the clusters. In this article, the power consumption, Signal to Interference plus Noise Ratio (SINR) and spectral efficiency (SE) of proposed CG-D2D are calculated and compared it with the existing networks. The proposed CG-D2D reduces the power consumption by approximately 10% – 30% and enhances the SINR and spectral efficiency (SE) by approximately 2% – 8% and 2% – 4% respectively than the existing approaches.
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CG-D2D:基于协作博弈论的5G无线网络D2D通信资源优化
设备到设备(D2D)通信为大量无线设备之间的资源分配铺平了道路。本文讨论了5G无线网络D2D通信中基于合作博弈理论的资源分配方法。附近的设备组合成一个集群,并在它们之间交换数据。由于进入集群的设备之间距离较近,因此它们之间的数据丢失量要小得多。在CG-D2D中,提出了一个效用函数和两种算法,用于频谱管理器在集群内设备之间分配资源和在集群之间分配资源。本文计算了所提出的CG-D2D网络的功耗、信噪比(SINR)和频谱效率(SE),并与现有网络进行了比较。与现有方法相比,所提出的CG-D2D可将功耗降低约10% - 30%,将SINR和频谱效率(SE)分别提高约2% - 8%和2% - 4%。
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