基于雾计算的无线接入网优化

A. Mateen, Qingsheng Zhu, S. Awan, Warda Rashid
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引用次数: 0

摘要

基于雾计算的无线接入网络与5G远程传输框架开始的强大世界观同时工作,提升了超凡脱俗的生命力和有效性。在中心思想中,获得了完整的小区无线电信号准备、一致的无线电资产管理和分散的边缘设备存放能力,从而减少了前端运输的大量重量。在雾计算的背景下,协作无线电标志处理(CRSP)不能在统一基带单元进入云无线接入网期间单独完成。解开对软件定义网络、网络功能虚拟化和边缘缓存等条件的关注。本文试图利用马尔可夫链模型最小化边缘兑现性能中的安全问题。仿真结果表明,通过在远程无线电头和用户设备之间进行边缘缓存,可以减少F_RAN的带宽消耗。
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Optimization of Fog Computing Based Radio Access Networks
The fog computing-based radio access networks work at the same time as capable worldview commencing to 5G remote transmitting framework give elevated unearthly along with vitality effectiveness. In center thought obtain complete points to interest of neighborhood radio flag preparing, consistent on radio asset administration and disseminated putting away abilities in edge gadgets, which can diminish the substantial weight on front haul. In light of fog computing, the cooperation radio flag handling (CRSP) cannot exclusively accomplish during the unified baseband unit into cloud radio access networks. Unfasten concern into the condition of software defined networking, network function virtualization and edge caching recognized. This paper attempts to minimize the security issues in the performance of edge cashing by using Markov chain model. Simulation results are able to reduce the bandwidth consumption of F_RAN through edge caching in between remote radio heads and user equipment's.
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