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QoE estimation and prediction using hidden Markov models in heterogeneous access networks
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.
2012 (English)In: 2012 Australasian Telecommunication Networks and Applications Conference: (ATNAC 2012) : Brisbane 7 November - 9 November 2012, Piscataway, NJ: IEEE Communications Society, 2012Conference paper, Published paper (Refereed)
Abstract [en]

Quality of Experience (QoE) based handoffs inheterogeneous access networks (HAN) necessitates accurate QoEestimation and prediction. The current approaches to QoE-awarehandoffs are limited. These approaches either lack the availabilityof underlying probing mechanism or lack the availability ofQoE estimation and prediction mechanism. In this paper, wepropose, develop and validate a novel method for QoE estimationand prediction using passive probing mechanisms. Ourmethod is based on hidden Markov models and multi-homedmobility management protocol. Using extensive simulations andexperimental studies, we show that our method achieves QoEestimation accuracy of 100% and prediction accuracy of 97% inHAN without using additional probe packets for QoE estimationand prediction.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2012.
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-31296DOI: 10.1109/ATNAC.2012.6398083Local ID: 5711cc88-07e0-4883-9df5-9631ebcf699aISBN: 9781467344098 (print)OAI: oai:DiVA.org:ltu-31296DiVA: diva2:1004529
Conference
Australasian Telecommunication Networks and Applications Conference : 07/11/2012 - 09/11/2012
Note
Godkänd; 2012; 20120913 (karan)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Mitra, KaranÅhlund, ChristerZaslavsky, Arkady
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