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Bitrate Analysis in 5G Networks for Video Streaming Services Using L-Moment Ratio Diagrams

dc.contributor.authorOrtega Aparicio, Juan Antonio
dc.contributor.authorCortés Polo, David
dc.contributor.authorCarmona-Murillo, Javier
dc.contributor.authorChidean, Mihaela I.
dc.date.accessioned2024-09-20T09:56:42Z
dc.date.available2024-09-20T09:56:42Z
dc.date.issued2023
dc.identifier.issn978-1-6654-6397-3
dc.identifier.urihttps://hdl.handle.net/10115/39670
dc.descriptionIEEE policy provides that authors are free to follow funder public access mandates to post accepted articles in repositories. When posting in a repository, the IEEE embargo period is 24 months. However, IEEE recognizes that posting requirements and embargo periods vary by funder. IEEE authors may comply with requirements to deposit their accepted articles in a repository per funder requirements where the embargo is less than 24 months. Information on specific funder requirements can be found here (https://open.ieee.org/for-authors/funders/).es
dc.description.abstractNow a days, the expansion of wireless technologies and the development of new services have arisen new network requirements that completely change the way that network providers supply the resources to these new services. In this context, this work includes a novel analysis based on the L-moments statistical theory oriented to the understanding of the 5G networks, specially in the situation when video streaming applications are used. Our analysis involves computing and representing the L-moment ratio diagram of the bitrate of both uplink and downlink channel for three specific services, i.e. the download of a large file and Netflix and Amazon Prime video streaming. Obtained results show clear differences in the statistical behaviour for all services when uplink and downlink, mainly due the different objectives and characteristics of these links. Results also show significant differences between the Netflix and Amazon Prime video streaming services. However, interesting and surprising similarities have also been detected, specially between the Amazon Prime video streaming service and the download of a large file. Conclusions obtained in this work could be useful input to novel network management and resource allocation algorithms in the next generation networks, being this idea one of our future research lines.es
dc.language.isoenges
dc.publisherIEEEes
dc.titleBitrate Analysis in 5G Networks for Video Streaming Services Using L-Moment Ratio Diagramses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.identifier.doi10.1109/EUROCON56442.2023.10198966es
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses


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