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User access mode selection in fog computing based radio access networks

机译:基于雾计算的无线接入网中的用户接入模式选择

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Fog computing based radio access network is a promising paradigm for the fifth generation wireless communication system to provide high spectral and energy efficiency. With the help of the new designed fog computing based access points (F-APs), the user-centric objectives can be achieved through the adaptive technique and will relieve the load of fronthaul and alleviate the burden of base band unit pool. In this paper, we derive the coverage probability and ergodic rate for both F-AP users and device-to-device users by taking into account the different nodes locations, cache sizes as well as user access modes. Particularly, the stochastic geometry tool is used to derive expressions for above performance metrics. Simulation results validate the accuracy of our analysis and we obtain interesting tradeoffs that depend on the effect of the cache size, user node density, and the quality of service constrains on the different performance metrics.
机译:基于雾计算的无线电接入网络是第五代无线通信系统提供高频谱和能量效率的有希望的范例。借助新设计的基于雾计算的接入点(F-AP),可以通过自适应技术实现以用户为中心的目标,从而减轻前传的负担并减轻基带单元池的负担。在本文中,我们通过考虑不同的节点位置,缓存大小以及用户访问模式,得出F-AP用户和设备到设备用户的覆盖概率和遍历率。特别地,随机几何工具用于导出以上性能指标的表达式。仿真结果验证了我们分析的准确性,并且我们获得了有趣的折衷,这取决于缓存大小,用户节点密度以及服务质量对不同性能指标的影响。

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