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A decision-theoretic approach for quality of experience measurement and prediction
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-3489-7429
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
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, Published paper (Refereed)
Abstract [en]

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.
Series
IEEE International Conference on Multimedia and Expo, ISSN 1945-7871
Keyword [en]
QoE, Quality of Experience, Context-Awareness, bayesian network, utility theory, QoE modelling, QoE measurement, QoE prediction, Information technology - Telecommunication
Keyword [sv]
Informationsteknik - Telekommunikation
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-35657DOI: 10.1109/ICME.2011.6012098Local ID: a48e7860-c7d4-4cb9-820d-1a27c29b03acISBN: 978-1-61284-348-3 (print)ISBN: 978-1-61284-349-0 (electronic)OAI: oai:DiVA.org:ltu-35657DiVA: diva2:1008910
Conference
IEEE International Conference on Multimedia and Expo : 11/07/2011 - 15/07/2011
Note
Validerad; 2011; Bibliografisk uppgift: Article number 6012098 ; 20111102 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-01-14Bibliographically approved

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Publisher's full texthttp://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6012098

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