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

e-Archivo Repository

Show simple item record

dc.contributor.author Sánchez Segura, María Isabel
dc.contributor.author Zeydan, Engin
dc.contributor.author Oliva Delgado, Antonio de la
dc.contributor.author Tan, A. Serdar
dc.contributor.author Yabas, Utku
dc.contributor.author Bernardos Cano, Carlos Jesús
dc.date.accessioned 2017-11-27T12:14:22Z
dc.date.available 2018-12-01T23:00:07Z
dc.date.issued 2016-12-01
dc.identifier.bibliographicCitation Computer communications, 95, pp. 3-14, December 2016
dc.identifier.issn 0140-3664
dc.identifier.issn 1873-703X (online)
dc.identifier.uri http://hdl.handle.net/10016/25980
dc.description.abstract The 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.
dc.description.sponsorship The 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).
dc.format.extent 12
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier B.V.
dc.rights © 2016 Elsevier B.V.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Mobility
dc.subject.other Handover
dc.subject.other Distributed mobility management (dmm)
dc.subject.other Big data
dc.subject.other Traffic analysis
dc.subject.other Data-networks
dc.title Mobility management: deployment and adaptability aspects through mobile data traffic analysis
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1016/j.comcom.2016.04.012
dc.rights.accessRights openAccess
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/318115
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/671598
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 3
dc.identifier.publicationlastpage 14
dc.identifier.publicationtitle Computer communications
dc.identifier.publicationvolume 95
dc.identifier.uxxi AR/0000018611
 Find Full text

Files in this item

*Click on file's image for preview. (Embargoed files's preview is not supported)


The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record