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Introducing Mobile Edge Computing Capabilities through Distributed 5G Cloud Enabled Small Cells

机译:通过启用5G云的分布式小型小区引入移动边缘计算功能

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Current trends in broadband mobile networks are addressed towards the placement of different capabilities at the edge of the mobile network in a centralised way. On one hand, the split of the eNB between baseband processing units and remote radio headers makes it possible to process some of the protocols in centralised premises, likely with virtualised resources. On the other hand, mobile edge computing makes use of processing and storage capabilities close to the air interface in order to deploy optimised services with minimum delay. The confluence of both trends is a hot topic in the definition of future 5G networks. The full centralisation of both technologies in cloud data centres imposes stringent requirements to the fronthaul connections in terms of throughput and latency. Therefore, all those cells with limited network access would not be able to offer these types of services. This paper proposes a solution for these cases, based on the placement of processing and storage capabilities close to the remote units, which is especially well suited for the deployment of clusters of small cells. The proposed cloud-enabled small cells include a highly efficient microserver with a limited set of virtualised resources offered to the cluster of small cells. As a result, a light data centre is created and commonly used for deploying centralised eNB and mobile edge computing functionalities. The paper covers the proposed architecture, with special focus on the integration of both aspects, and possible scenarios of application.
机译:宽带移动网络的当前趋势已朝着以集中方式将不同功能放置在移动网络边缘的方向发展。一方面,eNB在基带处理单元和远程无线电报头之间的划分使得有可能在集中式场所中处理某些协议,可能使用虚拟化资源。另一方面,移动边缘计算利用接近空中接口的处理和存储功能,以最小的延迟部署优化的服务。两种趋势的融合是未来5G网络定义中的热门话题。两种技术在云数据中心中的完全集中化在吞吐量和延迟方面对前传连接提出了严格的要求。因此,所有那些具有有限网络访问权限的小区将无法提供这些类型的服务。本文基于处理和存储功能靠近远程单元的位置提出了针对这些情况的解决方案,该解决方案特别适合于小型小区集群的部署。提出的支持云的小型小区包括一个高效的微型服务器,该服务器具有提供给小型小区群集的有限的虚拟化资源集。结果,创建了一个轻型数据中心,该数据中心通常用于部署集中式eNB和移动边缘计算功能。本文涵盖了提议的体系结构,特别着重于两个方面的集成以及可能的应用场景。

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