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Gaussian semi-Markov Model based on Real Video Multimedia Traffic
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-0019-8411
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
2015 (English)In: IEEE International Conference on Communications Communications (ICC) 2015 / [ed] IEEE, IEEE Press, 2015, 6971-6976 p.Conference paper, Published paper (Refereed)
Abstract [en]

The 3rd Generation Partnership Project (3GPP) introduced the new radio access technology, LTE (Long Term Evolution) and LTE-Advanced, which has the capability to provide larger bandwidth and low latencies on a wireless network in order to fulfill the demand of Users' Equipment (UEs) with acceptable Quality of Service (QoS). One of the data-heavy applications that has exploded on the market is Video. This calls for accurate modeling of video traffic. To ensure the quality and correctness of complex systems with Video traffic, it is important to evaluate the behavior of the traffic in the heterogeneous environment. This paper presents measurements on LTE Video traffic which were performed in a real environment. We derived a semi-Markov model which accurately reproduces the statistics of composite Video measurements over LTE network.

Place, publisher, year, edition, pages
IEEE Press, 2015. 6971-6976 p.
Series
IEEE International Conference on Communications, ISSN 1550-3607
Keyword [en]
LTE; semi-Markov; lognormal; Gaussian Mixture Model; Real Video Traffic; Empirical Data
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-117277DOI: 10.1109/ICC.2015.7249437ISI: 000371708107033OAI: oai:DiVA.org:liu-117277DiVA: diva2:847981
Conference
IEEE ICC 2015 - Communications Software, Services and Multimedia Applications Symposium, 8-12 June 2015, London, UK
Projects
EC-FP7 Marie Curie CIG grant, Proposal number: 294182;European Unions Seventh Framework Programme (FP7/2007-2013) under grant agreement no [609094 RERUM].
Funder
EU, FP7, Seventh Framework Programme, 609094EU, FP7, Seventh Framework Programme, 294182
Available from: 2015-08-22 Created: 2015-04-22 Last updated: 2016-04-20Bibliographically approved

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