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QoE in 5G Wireless Cellular Networks based on Mobile Cloud Network
LiSSi/TINC Laboratory, Dept. of Networks and Telecoms, 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
LiSSi/TINC Laboratory, Dept. of Networks and Telecoms, University of Paris-Est Cr´eteil VdM (UPEC), France.
LiSSi/TINC Laboratory, Dept. of Networks and Telecoms, University of Paris-Est Cr´eteil VdM (UPEC), France.
2015 (English)Conference paper (Refereed)
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 services 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 the cloudnetwork performance. The impact of user perceived Quality ofExperience (QoE) significantly relies on the QoS parameters. Thekey challenge of 5G technology is to reduce the delay less thanone millisecond. In this paper, we have described a method thatminimizes the overall network delay for constant bit rate (VoIP)and variable bit rate (video) traffic model. We also proposed amethod that 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 conference proceedings, 2015.
Keyword [en]
QoE; 5G; Mobile Cloud Computing; LTE; LTE-A: QoS; Video; VoIP;Cloud
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-122156OAI: oai:DiVA.org:liu-122156DiVA: diva2:862372
Conference
IEEE INFOCOM Workshop (MMCloudCom)
Available from: 2015-10-21 Created: 2015-10-21 Last updated: 2015-10-21

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