Publication:
AI-based Autonomous Control, Management, and Orchestration in 5G: from Standards to Algorithms

dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorBega, Dario
dc.contributor.authorGramaglia, Marco
dc.contributor.authorPérez, Ramón
dc.contributor.authorFiore, Marco
dc.contributor.authorBanchs Roca, Albert
dc.contributor.authorCosta-Pérez, Xavier
dc.contributor.funderEuropean Commissionen
dc.date.accessioned2021-01-25T13:26:39Z
dc.date.available2021-01-25T13:26:39Z
dc.date.issued2020-12-02
dc.description.abstractWhile the application of Artificial Intelligence (AI) to 5G networks has raised a strong interest, standard solutions to bring AI into 5G systems are still in their infancy and have a long way to go before they can be used to build an operational system. In this paper, we contribute to bridging the gap between standards and a working solution, by defining a framework that brings together the relevant standard specifications and complements them with additional building blocks. We populate this framework with concrete AI-based algorithms that serve different purposes towards developing a fully operational system. We evaluate the performance resulting from applying our framework to control, management and orchestration functions, showing the benefits that AI can bring to 5G systems.en
dc.description.sponsorshipThis work was supported by the H2020 5G-TOURS European project (Grant Agreement No. 856950).en
dc.format.extent7es
dc.identifier.bibliographicCitationIEEE network, 34(6), Pp. 14-20en
dc.identifier.doihttps://doi.org/10.1109/MNET.001.2000047
dc.identifier.issn0890-8044
dc.identifier.issn1558-156X (online)
dc.identifier.publicationfirstpage14es
dc.identifier.publicationissue6es
dc.identifier.publicationlastpage20es
dc.identifier.publicationtitleIEEE NETWORKen
dc.identifier.publicationvolume34es
dc.identifier.urihttps://hdl.handle.net/10016/31770
dc.identifier.uxxiAR/0000025931
dc.language.isoengen
dc.publisherIEEEen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/856950/5G-TOURSes
dc.rights© 2020 IEEE.en
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherArtificial intelligenceen
dc.subject.otherForecastingen
dc.subject.otherEnginesen
dc.subject.otherPrediction algorithmsen
dc.subject.otherHistoryen
dc.subject.otherData analysisen
dc.subject.other3GPPen
dc.titleAI-based Autonomous Control, Management, and Orchestration in 5G: from Standards to Algorithmsen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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