Publication:
Mobility management: deployment and adaptability aspects through mobile data traffic analysis

Simple item page
dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorSánchez Segura, María Isabel
dc.contributor.authorZeydan, Engin
dc.contributor.authorOliva Delgado, Antonio de la
dc.contributor.authorTan, A. Serdar
dc.contributor.authorYabas, Utku
dc.contributor.authorBernardos Cano, Carlos Jesús
dc.date.accessioned2017-11-27T12:14:22Z
dc.date.available2018-12-01T23:00:07Z
dc.date.issued2016-12-01
dc.description.abstractThe expected boost in mobile data traffic and the evolution towards the next generation of networks are making cellular operators reconsider whether current approaches for handling mobility could be improved, according to the characteristics of the mobile traffic that actually flows through real networks. In this work, we make use of extensive analysis of real network traces to infer the main characteristics of mobile data traffic for a particular operator. Our analysis focuses on the features related to mobility, i.e., location information, number of handovers, or duration of the data traffic exchange. New techniques to gather the mobility characteristics of the user based on data and control packets correlation are designed and applied to compare the gains of deploying different mobility management approaches.en
dc.description.sponsorshipThe research leading to these results has received funding from the EU Seventh Framework Programme (FP7/2007-2013) under grant agreement 318115 (Connectivity management for eneRgy Op- timised Wireless Dense networks, CROWD). The work of Antonio de la Oliva has also been funded by the EU H2020 5G-Crosshaul Project (grant no. 671598).en
dc.format.extent12es
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationComputer communications, 95, pp. 3-14, December 2016en
dc.identifier.doihttps://doi.org/10.1016/j.comcom.2016.04.012
dc.identifier.issn0140-3664
dc.identifier.issn1873-703X (online)
dc.identifier.publicationfirstpage3es
dc.identifier.publicationlastpage14es
dc.identifier.publicationtitleComputer communicationsen
dc.identifier.publicationvolume95es
dc.identifier.urihttps://hdl.handle.net/10016/25980
dc.identifier.uxxiAR/0000018611
dc.language.isoenges
dc.publisherElsevier B.V.en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/318115en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/671598en
dc.rights© 2016 Elsevier B.V.en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherMobilityen
dc.subject.otherHandoveren
dc.subject.otherDistributed mobility management (dmm)en
dc.subject.otherBig dataen
dc.subject.otherTraffic analysisen
dc.subject.otherData-networksen
dc.titleMobility management: deployment and adaptability aspects through mobile data traffic analysisen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
mobility_CC_2016_ps.pdf
Size:
2.59 MB
Format:
Adobe Portable Document Format
Download
Collections
DIT - RYSC - Artículos en Revistas Internacionales / International Journals
OpenAIRE: Open Access Infrastructure for Research in Europe