A QoE monitoring solution for LTE-Advanced Pro networks

Grigoriou, Elisavet;Atzori, Luigi;Pilloni, Virginia;
2018-01-01

Abstract

This paper presents a distributed agent-based Quality of Experience (QoE) monitoring solution for Long Term Evolution (LTE)-Advanced Pro networks. The proposed solution relies on an approach that considers the computational complexity and the network load to adjust the frequency of measurements while considering the estimation accuracy. Accordingly, the proposed system allows the Internet Service Provider (ISP) to monitor the network QoE level accurately without overloading the network by considering different Influence Factors (IFs). Some preliminary results are shown in terms of accuracy of estimations and computational complexity in case of video streaming service.
2018
Inglese
IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
9781538661512
IEEE (Institute of Electrical and Electronics Engineers)
2018
6
WOS:000454615800064
2-s2.0-85057244998
http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1002097
23rd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2018
Esperti anonimi
17-19 September 2018
Barcelona, Spain
scientifica
Algorithm; LTE; Monitoring; QoE; Solution; Computer networks and communications; Computer graphics and Computer-Aided Design
sì
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Grigoriou, Elisavet; Saoulidis, Theocharis; Atzori, Luigi; Pilloni, Virginia; Chatzimisios, Periklis
273
5
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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