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dc.contributor.authorChochliouros, Ioannis
dc.contributor.authorSallent Roig, José Oriol
dc.contributor.authorPérez Romero, Jordi
dc.contributor.authorSpiliopoulou, Anastasia S.
dc.contributor.authorDardamanis, Athanassios
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-10-24T13:45:59Z
dc.date.issued2017
dc.identifier.citationChochliouros, I., Sallent, J., Perez-Romero, J., Spiliopoulou, A.S., Dardamanis, A. Implications of multi-tenancy upon RRM/Self-x functions supporting mobility control. A: International Conference on Engineering Applications of Neural Networks. "Engineering Applications of Neural Networks: 18th International Conference, EANN 2017, Athens, Greece, August 25-27, 2017: proceedings". Athens: Springer, 2017, p. 657-668.
dc.identifier.isbn978-3-319-65171-2
dc.identifier.urihttp://hdl.handle.net/2117/109056
dc.description.abstractBased on the context of the original SESAME project research effort, in the present work we examined the implications of multi-tenancy upon the Radio Resources Management (RRM) and Self-x functions that support mobility control, as the latter is a fundamental functionality to ensure a seamless experience to the user equipments of the different operators when moving across the cells of a shared RAN (Radio Access Network) and when entering and leaving the shared infrastructure.
dc.format.extent12 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject.lcshNeural networks (Computer science)
dc.subject.lcshVirtual computer systems
dc.subject.otherMobility control
dc.subject.otherMobility load balancing
dc.subject.otherMulti-tenancy
dc.subject.otherRadio resource management (RRM)
dc.subject.otherSelf-organising networks (SON)
dc.subject.other“Self-x” functions Small cell (SC)
dc.subject.otherVirtual network function (VNF)
dc.titleImplications of multi-tenancy upon RRM/Self-x functions supporting mobility control
dc.typeConference report
dc.subject.lemacXarxes neuronals (Informàtica)
dc.subject.lemacSistemes virtuals (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils
dc.identifier.doi10.1007/978-3-319-65172-9_55
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-319-65172-9_55
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac21579835
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/671596/EU/Small cEllS coordinAtion for Multi-tenancy and Edge services/SESAME
dc.date.lift10000-01-01
local.citation.authorChochliouros, I.; Sallent, J.; Perez-Romero, J.; Spiliopoulou, A.S.; Dardamanis, A.
local.citation.contributorInternational Conference on Engineering Applications of Neural Networks
local.citation.pubplaceAthens
local.citation.publicationNameEngineering Applications of Neural Networks: 18th International Conference, EANN 2017, Athens, Greece, August 25-27, 2017: proceedings
local.citation.startingPage657
local.citation.endingPage668


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