On extracting user-centric knowledge for personalised quality of service in 5G networks
Visualitza/Obre
Cita com:
hdl:2117/109019
Tipus de documentComunicació de congrés
Data publicació2017
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
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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.
Descripció
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CitacióSanchez, 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.
ISBN978-3-901882-89-0
Versió de l'editorhttp://ieeexplore.ieee.org/document/7987408/
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