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Space/time traffic fluctuations in a cellular network: measurements’ analysis and potential applications
dc.contributor.author | Sánchez González, Juan |
dc.contributor.author | Sallent Roig, Oriol |
dc.contributor.author | Pérez Romero, Jordi |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2019-01-22T13:18:32Z |
dc.date.available | 2019-01-22T13:18:32Z |
dc.date.issued | 2018 |
dc.identifier.citation | Sanchez, 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.isbn | 978-3-319-92016-0 |
dc.identifier.uri | http://hdl.handle.net/2117/127371 |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-92016-0_9 |
dc.description.abstract | The 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.extent | 10 p. |
dc.language.iso | eng |
dc.publisher | Springer |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils |
dc.subject | Àrees temàtiques de la UPC::Energies::Eficiència energètica |
dc.subject.lcsh | Energy conservation |
dc.subject.lcsh | Mobile communication systems |
dc.subject.other | Space/time traffic analysis |
dc.subject.other | Cellular networks |
dc.subject.other | SON |
dc.subject.other | Mobility load balancing |
dc.subject.other | Coverage and capacity optimisation |
dc.subject.other | Energy saving |
dc.title | Space/time traffic fluctuations in a cellular network: measurements’ analysis and potential applications |
dc.type | Conference report |
dc.subject.lemac | Energia -- Estalvi |
dc.subject.lemac | Comunicacions mòbils, Sistemes de |
dc.contributor.group | Universitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils |
dc.identifier.doi | 10.1007/978-3-319-92016-0_9 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-319-92016-0_9 |
dc.rights.access | Open Access |
local.identifier.drac | 23547570 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/761592/EU/Embedded Network Services for 5G Experiences/5G ESSENCE |
local.citation.author | Sanchez, J.; Sallent, J.; Perez-Romero, J. |
local.citation.contributor | International Conference on Artificial Intelligence Applications and Innovations |
local.citation.pubplace | Berlín |
local.citation.publicationName | 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 |
local.citation.startingPage | 89 |
local.citation.endingPage | 98 |