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dc.contributor.authorChochliouros, Ioannis
dc.contributor.authorWhitehead, Alan
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.accessioned2017-10-24T13:51:26Z
dc.date.issued2017
dc.identifier.citationChochliouros, I., Whitehead, A., Sallent, J., Perez-Romero, J., Spiliopoulou, A.S., Dardamanis, A. Inclusion of “Self-x” Properties in the SESAME-based wireless backhaul for support of higher performance. 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. 716-727.
dc.identifier.isbn978-3-319-65171-2
dc.identifier.urihttp://hdl.handle.net/2117/109057
dc.description.abstractBased on the actual framework of the SESAME 5G-PPP EU-funded project, we identify the importance of the related wireless backhauling within the broader 5G innovative framework, with the pure aim of using small cells together with suitable network virtualization techniques for serving multiple tenants in a modern architectural approach. The virtualization of the network nodes and the wireless links allow for the development of a suitable SDN controller intending to perform network slicing, where the wireless backhaul resources are shared and assigned on a per-tenant basis. In order to apply SON features as they are also applied at the access radio level, the SDN controller is responsible for collecting and evaluating status information of the network (link qualities, status of wireless interfaces, ongoing traffic), thus resulting to self-planning, self-optimization and self-healing attributes.
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.subjectÀrees temàtiques de la UPC::Informàtica
dc.subject.lcshVirtual computer systems
dc.subject.lcshNeural networks (Computer science)
dc.subject.other5G
dc.subject.otherCloud-enabled small cell (CESC)
dc.subject.otherNetwork functions virtualization (NFV)
dc.subject.otherMulti-tenancy
dc.subject.otherSelf-x properties
dc.subject.otherSmall cell (SC)
dc.subject.otherSoftware-defined networking (SDN)
dc.subject.otherWireless backhauling
dc.titleInclusion of “Self-x” Properties in the SESAME-based wireless backhaul for support of higher performance
dc.typeConference report
dc.subject.lemacSistemes virtuals (Informàtica)
dc.subject.lemacXarxes neuronals (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils
dc.identifier.doi10.1007/978-3-319-65172-9_60
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-319-65172-9_60
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac21579770
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.; Whitehead, A.; 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.startingPage716
local.citation.endingPage727


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