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QoE in 5G Cloud Networks using Multimedia Services
University of Paris-Est Cr´eteil VdM (UPEC), France.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-0019-8411
University of Paris-Est Cr´eteil VdM (UPEC), France.
University of Paris-Est Cr´eteil VdM (UPEC), France.
2016 (English)In: 2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, IEEE Computer Society, 2016Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

The 4G standard Long Term Evolution-Advanced(LTE-A) has been deployed in many countries. Now, technologyis evolving towards the 5G standard since it is expecting tostart its service in 2020. The 5G cellular networks will mainlycontain in cloud computing and primarily Quality of Service(QoS) parameters (e.g. delay, loss rate, etc.) influence thecloud network performance. The impact of user perceivedQuality of Experience (QoE) using multimedia services, andapplication significantly relies on the QoS parameters. The keychallenge of 5G technology is to reduce the delay less thanone millisecond. In this paper, we have described a methodthat minimizes the overall network delay for multimediaservices; which are constant bit rate (VoIP) and variablebit rate (video) traffic model. We also proposed a methodthat measures the user’s QoE for video streaming trafficusing the network QoS parameters, i.e. delay and packet lossrate. The performance of proposed QoE method is comparedwith QoV method, and our proposed QoE method performsbest by carefully handle the impact of QoS parameters. Theresults show that our described method successfully reduces theoverall network delays, which result to maximize the user’s QoE.

Place, publisher, year, edition, pages
IEEE Computer Society, 2016.
Series
IEEE Wireless Communications and Networking Conference, ISSN 1525-3511
Keyword [en]
QoE; QoS; 5G; Cloud; VoIP; Video; Multimedia Services.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-128164DOI: 10.1109/WCNC.2016.7565173ISI: 000388603103053ISBN: 978-1-4673-9814-5 (print)OAI: oai:DiVA.org:liu-128164DiVA: diva2:929656
Conference
IEEE Wireless Communication and Networking Conference (WCNC’16)
Available from: 2016-05-19 Created: 2016-05-19 Last updated: 2016-12-27Bibliographically approved

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Fowler, Scott

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf