Building a Large Dataset for Model-based QoE Prediction in the Mobile Environment

L. Amour S. Souihi 1 S. Hoceini 1 A. Mellouk 1
1 CIR
LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
Abstract : The tremendous growth in video services , specially in the context of mobile usage , creates new challenges for network service providers : How to enhance the user ' s Quality of Experience (QoE) in dynamic wireless networks (UMTS , HSPA , LTE/LTE - A) . The network operators use different methods to predict the user 's QoE . Generally to predict the user 's QoE , methods are based on collecting subjective QoE scores given by users . Basically , these approaches need a large dataset to predict a good perceived quality of the service . In this paper , we setup an experimental test based on crowdsourcing approach and we build a large dataset in order to predict the user ' s QoE in mobile environment in term of Mean Opinion Score (MOS) . The main objective of this study is to measure the individual / global impact of QoE Influence Factors (QoE IFs) in a real environment . Based on the collective dataset , we perform 5 testing scenarios to compare 2 estimation methods (SVM and ANFIS) to study the impact of the number of the considered parameters on the estimation . It became clear that using more parameters without any weighing mechanisms can produce bad results .
Type de document :
Communication dans un congrès
Proc of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWIM 2015, 2015, Cancun, Mexico. pp.313-317, 2015
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01567527
Contributeur : Lab Lissi <>
Soumis le : lundi 24 juillet 2017 - 09:29:12
Dernière modification le : mercredi 20 février 2019 - 13:48:35

Identifiants

  • HAL Id : hal-01567527, version 1

Collections

Citation

L. Amour, S. Souihi, S. Hoceini, A. Mellouk. Building a Large Dataset for Model-based QoE Prediction in the Mobile Environment. Proc of the 18th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, MSWIM 2015, 2015, Cancun, Mexico. pp.313-317, 2015. 〈hal-01567527〉

Partager

Métriques

Consultations de la notice

30