Identifying common periodicities in mobile service demands with spectral analysis

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Identifying common periodicities in mobile service demands with spectral analysis

Author(s): Márquez Colás, María Cristina; Gramaglia, Marco; Fiore, Marco; Banchs Roca, Albert; Smoreda, Zbigniew
Publisher: IEEE
Issued date: 2020-09-20
Citation: 2020 Mediterranean Communication and Computer Networking Conference (MedComNet), Aroa, Italy, 17-19 June 2020. IEEE, 2020, 8 Pp.
ISBN: 978-1-7281-6248-5
DOI: https://doi.org/10.1109/MedComNet49392.2020.9191477
xmlui.dri2xhtml.METS-1.0.item-contributor-funder: European Commission
Sponsor: 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).
Project: nfo:eu-repo/grantAgreement/H2020/856950/5G-TOURS
Keywords: Time series analysis , Discrete Fourier transforms , Spectral analysis , Time-frequency analysis , Electronic mail , Urban areas , Europe
URI: http://hdl.handle.net/10016/30845
Rights: © 2020 IEEE.

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 Tran [+]

Description:

Proceeding of: 2020 Mediterranean Communication and Computer Networking Conference (MedComNet), Aroa, Italy, 17-19 June 2020

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