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A dynamic distributed spectrum allocation mechanism based on game model in fog radio access networks

机译:雾无线电接入网中基于博弈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:随着高速无线数据需求的爆炸性增长和移动设备的数量,具有多层网络结构的雾无线电接入网络(F-RAN)成为近期研究的热点。同时,由于移动通信业务的快速增长,高成本和无线资源的稀缺,开发有效的无线电资源管理机制尤为重要。在本文中,我们着眼于资源浪费的缺点,并考虑了基站动态覆盖的实际情况和用户需求。我们在F-RAN框架下提出基于Stackelberg博弈模型的频谱定价和分配方案,实现按需分配资源。该方案研究了用户与运营商之间以及传统运营商与虚拟运营商之间的双重博弈,从而最大化了运营商的利润。同时,采用频谱复用技术来提高网络资源的利用率。通过对仿真结果的分析,验证了所提方案不仅可以避免资源浪费,而且可以有效提高运营商的收入效率和整体网络资源利用率。

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