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On extracting user-centric knowledge for personalised quality of service in 5G networks
dc.contributor.author | Sánchez González, Juan |
dc.contributor.author | Sallent Roig, Oriol |
dc.contributor.author | Pérez Romero, Jordi |
dc.contributor.author | Agustí Comes, Ramon |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2017-10-24T10:11:10Z |
dc.date.available | 2017-10-24T10:11:10Z |
dc.date.issued | 2017 |
dc.identifier.citation | Sanchez, J., Sallent, J., Perez-Romero, J., Agusti, R. On extracting user-centric knowledge for personalised quality of service in 5G networks. A: IFIP/IEEE International Symposium on Integrated Network Management. "Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network Management". Lisboa: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 1-4. |
dc.identifier.isbn | 978-3-901882-89-0 |
dc.identifier.uri | http://hdl.handle.net/2117/109019 |
dc.description | ©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
dc.description.abstract | This paper aims to improve the user Quality of Service (QoS) in 5G networks by introducing a user-centric view that exploits the predictability of the user’s daily motifs. An agglomerative clustering is used to identify these motifs according to the cells in which the user is camping during the day. Then, a technique to extract the personalised QoS observed by the user is proposed. The methodology is illustrated with an example that makes use of real measurements obtained from a specific customer of a 3G/4G operator. The presented results illustrate that the proposed user-centric approach is able to identify situations with poor user perceived QoS which could not be identified by a classical network-centric approach. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Comunicacions mòbils |
dc.subject.lcsh | Computational grids (Computer systems) |
dc.subject.lcsh | Cellular telephone systems |
dc.subject.other | User-centric optimization |
dc.subject.other | Knowledge discovery |
dc.subject.other | Daily motifs |
dc.subject.other | Clustering |
dc.title | On extracting user-centric knowledge for personalised quality of service in 5G networks |
dc.type | Conference lecture |
dc.subject.lemac | Computació distribuïda |
dc.subject.lemac | Telefonia mòbil |
dc.contributor.group | Universitat Politècnica de Catalunya. GRCM - Grup de Recerca en Comunicacions Mòbils |
dc.identifier.doi | 10.23919/INM.2017.7987408 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/document/7987408/ |
dc.rights.access | Open Access |
local.identifier.drac | 21125810 |
dc.description.version | Postprint (author's final draft) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/671596/EU/Small cEllS coordinAtion for Multi-tenancy and Edge services/SESAME |
local.citation.author | Sanchez, J.; Sallent, J.; Perez-Romero, J.; Agusti, R. |
local.citation.contributor | IFIP/IEEE International Symposium on Integrated Network Management |
local.citation.pubplace | Lisboa |
local.citation.publicationName | Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network Management |
local.citation.startingPage | 1 |
local.citation.endingPage | 4 |