A decision-theoretic approach for quality of experience measurement and prediction
2011 (English)In: 2011 IEEE International Conference on Multimedia and Expo, (ICME 2011): Barcelona, Spain, 11 - 15 July 2011 / [ed] Irene Cheng, Piscataway, NJ: IEEE Communications Society, 2011Conference paper (Refereed)
This paper presents a pioneering context-aware approach for quality of experience (QoE) measurement and prediction. The proposed approach incorporates an intuitive context-aware framework and decision theory. It is capable of incorporating several QoE related classes and context information to correctly measure and predict the overall QoE on a single scale. Our approach can be used in measuring and predicting QoE in both lab and living-lab settings based on user, device and network related context parameters. The predicted QoE can be beneficial for network operators to minimize network churn and can help application developers to build smart user-centric applications. We perform extensive experimentation and the results validate our approach.
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2011.
, IEEE International Conference on Multimedia and Expo, ISSN 1945-7871
QoE, Quality of Experience, Context-Awareness, bayesian network, utility theory, QoE modelling, QoE measurement, QoE prediction, Information technology - Telecommunication
Informationsteknik - Telekommunikation
Research subject Mobile and Pervasive Computing
IdentifiersURN: urn:nbn:se:ltu:diva-35657DOI: 10.1109/ICME.2011.6012098Local ID: a48e7860-c7d4-4cb9-820d-1a27c29b03acISBN: 978-1-61284-348-3ISBN: 978-1-61284-349-0 (PDF)OAI: oai:DiVA.org:ltu-35657DiVA: diva2:1008910
IEEE International Conference on Multimedia and Expo : 11/07/2011 - 15/07/2011
Validerad; 2011; Bibliografisk uppgift: Article number 6012098 ; 20111102 (ysko)2016-09-302016-09-30Bibliographically approved