Monitoring and Analytics for the Optimisation of Cloud Enabled Small Cells

J. Pérez-Romero, Vincenzo Riccobene, Florian Schmidt, O. Sallent, Elisa Jimeno, J. Fernandez, Adam Flizikowski, I. Giannoulakis, E. Kafetzakis
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引用次数: 9

Abstract

With the wide range of application scenarios and associated requirements expected for the Fifth Generation (5G) networks, the increased complexity in the management of the network will require smart mechanisms able to collect a multitude of different metrics and to analyse them to extract the knowledge that can drive an efficient decision making. For this reason, future networks are expected to incorporate telemetry and analytics tools able to support the different management procedures. In this context, this paper presents the monitoring and analytics framework that is being developed by the 5G ESSENCE project for optimising the provision of Small Cell as a Service in multi-tenant scenarios. The paper discusses the different components of the framework and illustrates its capabilities for the optimisation of the cloud resource allocation and the Radio Access Network.
监测和分析优化的云启用小细胞
随着第五代(5G)网络的广泛应用场景和相关需求的增加,网络管理的复杂性将需要能够收集大量不同指标并对其进行分析以提取可以推动有效决策的知识的智能机制。出于这个原因,未来的网络预计将包含能够支持不同管理程序的遥测和分析工具。在此背景下,本文介绍了5G ESSENCE项目正在开发的监控和分析框架,用于优化多租户场景下小蜂窝即服务的提供。本文讨论了该框架的不同组成部分,并说明了其优化云资源分配和无线接入网的能力。
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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