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On extracting user-centric knowledge for personalised quality of service in 5G networks

Author
Sanchez, J.; Sallent, J.; Perez-Romero, J.; Agusti, R.
Type of activity
Presentation of work at congresses
Name of edition
15th IFIP/IEEE International Symposium on Integrated Network Management
Date of publication
2017
Presentation's date
2017-05
Book of congress proceedings
Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network Management
First page
1
Last page
4
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.23919/INM.2017.7987408 Open in new window
Repository
http://hdl.handle.net/2117/109019 Open in new window
URL
http://ieeexplore.ieee.org/document/7987408/ Open in new window
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 custo...
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.
Keywords
Clustering, Daily motifs, Knowledge discovery, User-centric optimization
Group of research
CCABA - Advanced Broadband Communications Center
GRCM - Mobile Communication Reserach Group

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