Abstract
Quality of Service (QoS) optimization are not sufficient to ensure users needs. That’s why, operators are investigating a new concept called Quality of Experience (QoE), to evaluate the real quality perceived by users. This concept becomes more and more important, but still hard to estimate. This estimation can be influenced by a lot of factors called: Quality of Experience Influence Factors (QoE IFs). In this work, we survey and review existing approaches to classify QoE IFs. Then, we present a new modular and extensible classification architecture. Finally, regarding the proposed classification, we evaluate some QoE estimation approaches to highlight the fact that categories do not affect in the same the user perception.
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Acknowledgment
This work has been funded by LiSSi laboratory from the UPEC university in the framework of the French cooperative project PoQEMoN, Pôle de Compétitivité Systematic (FUI 16).
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Amour, L., Souihi, S., Hoceini, S., Mellouk, A. (2015). A Hierarchical Classification Model of QoE Influence Factors . In: Aguayo-Torres, M., Gómez, G., Poncela, J. (eds) Wired/Wireless Internet Communications. WWIC 2015. Lecture Notes in Computer Science(), vol 9071. Springer, Cham. https://doi.org/10.1007/978-3-319-22572-2_16
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DOI: https://doi.org/10.1007/978-3-319-22572-2_16
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