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dc.contributor.authorSánchez González, Juan
dc.contributor.authorSallent Roig, José Oriol
dc.contributor.authorPérez Romero, Jordi
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2019-01-22T13:18:32Z
dc.date.available2019-01-22T13:18:32Z
dc.date.issued2018
dc.identifier.citationSanchez, J., Sallent, J., Perez-Romero, J. Space/time traffic fluctuations in a cellular network: measurements’ analysis and potential applications. A: International Conference on Artificial Intelligence Applications and Innovations. "Artificial Intelligence Applications and Innovations : AIAI 2018 IFIP WG 12.5 International Workshops, SEDSEAL, 5G-PINE, MHDW, and HEALTHIOT, Rhodes, Greece, May 25-27, 2018: proceedings". Berlín: Springer, 2018, p. 89-98.
dc.identifier.isbn978-3-319-92016-0
dc.identifier.urihttp://hdl.handle.net/2117/127371
dc.descriptionThe final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-92016-0_9
dc.description.abstractThe characterization of the space/time traffic profiles in a cellular network can be of high interest for automating the operation of future networks, since the knowledge extracted from the traffic fluctuations in a cell and its neighbours can be effectively exploited by different optimisation functions. In this context, this paper takes as an input a set of real traffic measurements in a cellular network deployed in a large city and analyses, on a per cell basis, the traffic profile characteristics at different time scales (week, day, hour). Then, the analysis is extended to the space dimension by considering the traffic of one cell in relation to that of its neighbours. This allows identifying traffic complementarities between neighbour cells at different time scales that can be exploited by certain optimisation functions, as illustrated in the paper with specific examples.
dc.format.extent10 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils
dc.subjectÀrees temàtiques de la UPC::Energies::Eficiència energètica
dc.subject.lcshEnergy conservation
dc.subject.lcshMobile communication systems
dc.subject.otherSpace/time traffic analysis
dc.subject.otherCellular networks
dc.subject.otherSON
dc.subject.otherMobility load balancing
dc.subject.otherCoverage and capacity optimisation
dc.subject.otherEnergy saving
dc.titleSpace/time traffic fluctuations in a cellular network: measurements’ analysis and potential applications
dc.typeConference report
dc.subject.lemacEnergia -- Estalvi
dc.subject.lemacComunicacions mòbils, Sistemes de
dc.contributor.groupUniversitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils
dc.identifier.doi10.1007/978-3-319-92016-0_9
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-319-92016-0_9
dc.rights.accessOpen Access
drac.iddocument23547570
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorSanchez, J.; Sallent, J.; Perez-Romero, J.
upcommons.citation.contributorInternational Conference on Artificial Intelligence Applications and Innovations
upcommons.citation.pubplaceBerlín
upcommons.citation.publishedtrue
upcommons.citation.publicationNameArtificial Intelligence Applications and Innovations : AIAI 2018 IFIP WG 12.5 International Workshops, SEDSEAL, 5G-PINE, MHDW, and HEALTHIOT, Rhodes, Greece, May 25-27, 2018: proceedings
upcommons.citation.startingPage89
upcommons.citation.endingPage98


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