Ultra-low latency service provision in 5G Fog-Radio Access Networks

Te-Chuan Chiu, W. Chung, Ai-Chun Pang, Ya-Ju Yu, Pei-Hsuan Yen
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引用次数: 38

Abstract

With the increasing demand for ultra-low latency services in 5G cellular networks, fog with edge computing is one of promising solutions which migrate the computing from the cloud to the edge of the network. Rather than relying on the distant cloud or additional servers, we propose the Fog-Radio Access Network (F-RAN), which leverages the current infrastructures in the radio access network, such as small cells and macro base stations, to pursue the ultra-low latency by joint powerful computing of multiple F-RAN nodes and near-range communications at the edge. The optimization problem is firstly formulated to tackle the tradeoff between communication and computing resources into time domain within distributed computing scenario, and then we propose a cooperative task computing operation algorithm to simultaneously decide how many F-RAN nodes should be selected with proper communication resource allocation and computing task assignment. The numerical results show that the ultra low-latency services can be achieved by F-RAN via cooperative task computing.
5G雾-无线接入网的超低延迟业务提供
随着5G蜂窝网络对超低延迟服务需求的不断增长,雾与边缘计算是将计算从云端迁移到网络边缘的有前途的解决方案之一。我们提出雾-无线接入网(F-RAN),而不是依赖于远程云或额外的服务器,它利用无线接入网中现有的基础设施,如小蜂窝和宏基站,通过多个F-RAN节点的联合强大计算和边缘的近距离通信来追求超低延迟。首先针对分布式计算场景下通信资源和计算资源在时域内的权衡问题提出优化问题,然后提出一种协作任务计算运算算法,在合理分配通信资源和计算任务的情况下,同时决定选择多少个F-RAN节点。数值结果表明,通过协同任务计算,F-RAN可以实现超低延迟服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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