Impact of the LTE scheduler on achieving good QoE for DASH video streaming

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dc.contributor.authorZahran, Ahmed H.
dc.contributor.authorQuinlan, Jason J.
dc.contributor.authorRamakrishnan, K. K.
dc.contributor.authorSreenan, Cormac J.
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2017-10-25T15:47:20Z
dc.date.available2017-10-25T15:47:20Z
dc.date.issued2016-06
dc.description.abstractDynamic adaptive video over HTTP (DASH) is fast becoming the protocol of choice for content providers for their online video streaming delivery. Concurrently, dependence on cellular Long Term Evolution (LTE) networks is growing to serve user demands for bandwidth-hungry applications, especially video. Each LTE base station's (eNodeB) scheduler assigns wireless resources to individual clients. Several alternative schedulers have been proposed, especially to meet the user's desired quality of experience (QoE) with video. In this paper, we investigate the impact of the scheduler on DASH performance, motivated by the fact that video performance and the underlying traffic models are different from other HTTP/TCP applications. We use our laboratory testbed employing real video content and streaming clients, over a simulated ns-3 LTE network. We quantify the impact of the scheduler and show that it has a significant impact on key video streaming performance metrics such as stalls and QoE, for different client adaptation algorithms. Additionally, we show the impact of user mobility within a cell, which has the side-effect of improving performance by mitigating long-term fading effects. Our detailed assessment of four LTE schedulers in ns-3 shows that the proportional fair scheduler achieves the best overall user experience, although somewhat disadvantaging static cell-edge users.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid7548861
dc.identifier.citationZahran, A. H., Quinlan, J. J., Ramakrishnan, K. K. and Sreenan, C. J. (2016) 'Impact of the LTE scheduler on achieving good QoE for DASH video streaming', 22nd IEEE International Symposium on Local and Metropolitan Area Networks, IEEE LANMAN 2016, Rome, Italy, 13-15 June, 7548861 (7pp). doi: 10.1109/LANMAN.2016.7548861en
dc.identifier.doi10.1109/LANMAN.2016.7548861
dc.identifier.endpage7en
dc.identifier.isbn978-1-4673-9882-4/16
dc.identifier.issn1944-0375
dc.identifier.journaltitle22nd IEEE International Symposium on Local and Metropolitan Area Networks, IEEE LANMAN 2016en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/4931
dc.language.isoenen
dc.publisherIEEEen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Investigator Programme/13/IA/1892/IE/An Internet Infrastructure for Video Streaming Optimisation (iVID)/en
dc.rights© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectStreaming mediaen
dc.subjectMeasurementen
dc.subjectThroughputen
dc.subjectLong Term Evolutionen
dc.subjectVideo recordingen
dc.subjectQuality assessmenten
dc.subjectFading channelsen
dc.subjectVideo streamingen
dc.subjectCellular radioen
dc.subjectFadingen
dc.subjectLong Term Evolutionen
dc.subjectMobility management (mobile radio)en
dc.subjectQuality of experienceen
dc.subjectTelecommunication trafficen
dc.subjectTransport protocolsen
dc.titleImpact of the LTE scheduler on achieving good QoE for DASH video streamingen
dc.typeArticle (peer-reviewed)en
dc.typeConference item
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