Identifying common periodicities in mobile service demands with spectral analysis

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dc.contributor.author Márquez Colás, María Cristina
dc.contributor.author Gramaglia, Marco
dc.contributor.author Fiore, Marco
dc.contributor.author Banchs Roca, Albert
dc.contributor.author Smoreda, Zbigniew
dc.date.accessioned 2020-09-22T14:30:41Z
dc.date.available 2020-09-22T14:30:41Z
dc.date.issued 2020-09-20
dc.identifier.bibliographicCitation 2020 Mediterranean Communication and Computer Networking Conference (MedComNet), Aroa, Italy, 17-19 June 2020. IEEE, 2020, 8 Pp.
dc.identifier.isbn 978-1-7281-6248-5
dc.identifier.uri http://hdl.handle.net/10016/30845
dc.description Proceeding of: 2020 Mediterranean Communication and Computer Networking Conference (MedComNet), Aroa, Italy, 17-19 June 2020
dc.description.abstract In this paper, we investigate the existence and prevalence of comparable dynamics in the temporal fluctuations for the traffic demands generated by mobile applications.To this end, we hinge upon a spectral analysis framework, by computing Discrete Fourier Transforms of the typical demands for tens of popular mobile services observed in an operational metropolitan-scale network. We filter, cluster, and analyse hundreds of frequency components, and identify a substantial set of regular patterns that are common across most service demands. We also unveil how several mobile services defy classification, and have instead highly distinguishing temporal dynamics.
dc.description.sponsorship The work of Orange Labs was supported by ANR through the CANCAN project (ANR-18-CE25-0011). The work of UC3M was supported by the H2020 5G-TOURS project (grant agreement no. 856950).
dc.format.extent 8
dc.language.iso eng
dc.publisher IEEE
dc.rights © 2020 IEEE.
dc.subject.other Time series analysis
dc.subject.other Discrete Fourier transforms
dc.subject.other Spectral analysis
dc.subject.other Time-frequency analysis
dc.subject.other Electronic mail
dc.subject.other Urban areas
dc.subject.other Europe
dc.title Identifying common periodicities in mobile service demands with spectral analysis
dc.type conferenceObject
dc.type bookPart
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1109/MedComNet49392.2020.9191477
dc.rights.accessRights openAccess
dc.relation.projectID nfo:eu-repo/grantAgreement/H2020/856950/5G-TOURS
dc.type.version acceptedVersion
dc.relation.eventdate 2020-06-17
dc.relation.eventplace Aroa, Italia
dc.relation.eventtitle 2020 Mediterranean Communication and Computer Networking Conference (MedComNet)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 1
dc.identifier.publicationlastpage 8
dc.identifier.publicationtitle 2020 Mediterranean Communication and Computer Networking Conference (MedComNet)
dc.identifier.uxxi CC/0000030379
dc.contributor.funder European Commission
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