Monitoring and analytics for the optimisation of cloud enabled small cells
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Document typeConference report
Date issued2018
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
European Commisision's project
EC-H2020-761592Abstract
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.
CitationPerez-Romero, J., Riccobene, V., Schmidt, F., Sallent, J., Jimeno, E., Fernandez, J., Flizikovski, A., Giannoulakis, I., Kafetzakis, E. Monitoring and analytics for the optimisation of cloud enabled small cells. A: IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks. "2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design od Communication Links and Networks (CAMAD)". Institute of Electrical and Electronics Engineers (IEEE), 2018.
ISBN978-1-5386-6151-2
Publisher versionhttps://ieeexplore.ieee.org/document/8514948
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