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首页> 外文期刊>Annals of the American Thoracic Society >A Dynamic Distributed Spectrum Allocation Mechanism Based on Game Model in Fog Radio Access Networks
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A Dynamic Distributed Spectrum Allocation Mechanism Based on Game Model in Fog Radio Access Networks

机译:基于雾无线电接入网络游戏模型的动态分布式频谱分配机制

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摘要

With the explosive growth of highspeed wireless data demand and the number of mobile devices, fog radio access networks (F-RAN) with multi-layer network structure becomes a hot topic in recent research. Meanwhile, due to the rapid growth of mobile communication traffic, high cost and the scarcity of wireless resources, it is especially important to develop an efficient radio resource management mechanism. In this paper, we focus on the shortcomings of resource waste, and we consider the actual situation of base station dynamic coverage and user requirements. We propose a spectrum pricing and allocation scheme based on Stackelberg game model under F-RAN framework, realizing the allocation of resource on demand. This scheme studies the double game between the users and the operators, as well as between the traditional operators and the virtual operators, maximizing the profits of the operators. At the same time, spectrum reuse technology is adopted to improve the utilization of network resource. By analyzing the simulation results, it is verified that our proposed scheme can not only avoid resource waste, but also effectively improve the operator's revenue efficiency and overall network resource utilization.
机译:随着高速增长的高速无线数据需求和移动设备的数量,具有多层网络结构的雾无线电接入网络(F-RAN)成为最近研究的热门话题。同时,由于移动通信业务的快速增长,高成本和无线资源稀缺,尤为重要的是开发高效的无线电资源管理机制。在本文中,我们专注于资源浪费的缺点,我们考虑了基站动态覆盖和用户要求的实际情况。我们提出了一种基于F-RAN框架下基于Stackelberg游戏模型的频谱定价和分配方案,实现了资源的需求分配。该方案研究了用户和运营商之间的双重游戏,以及传统的运营商和虚拟运营商之间,最大限度地提高了运营商的利润。同时,采用频谱再利用技术来改善网络资源的利用率。通过分析模拟结果,验证了我们所提出的方案不仅可以避免资源浪费,还可以有效地提高运营商的收入效率和整体网络资源利用率。

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