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

The submission of new items to CORA is currently unavailable due to a repository upgrade. For further information, please contact Thank you for your understanding.

Show simple item record Zahran, Ahmed H. Quinlan, Jason J. Ramakrishnan, K. K. Sreenan, Cormac J. 2017-10-25T15:47:20Z 2017-10-25T15:47:20Z 2016-06
dc.identifier.citation Zahran, 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.2016.7548861 en
dc.identifier.startpage 1 en
dc.identifier.endpage 7 en
dc.identifier.isbn 978-1-4673-9882-4/16
dc.identifier.issn 1944-0375
dc.identifier.doi 10.1109/LANMAN.2016.7548861
dc.description.abstract Dynamic 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.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher IEEE 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.subject Streaming media en
dc.subject Measurement en
dc.subject Throughput en
dc.subject Long Term Evolution en
dc.subject Video recording en
dc.subject Quality assessment en
dc.subject Fading channels en
dc.subject Video streaming en
dc.subject Cellular radio en
dc.subject Fading en
dc.subject Long Term Evolution en
dc.subject Mobility management (mobile radio) en
dc.subject Quality of experience en
dc.subject Telecommunication traffic en
dc.subject Transport protocols en
dc.title Impact of the LTE scheduler on achieving good QoE for DASH video streaming en
dc.type Article (peer-reviewed) en
dc.type Conference item
dc.internal.authorcontactother Jason Quinlan, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: en
dc.internal.availability Full text available en
dc.description.version Accepted Version en
dc.internal.rssid 439892816
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle 22nd IEEE International Symposium on Local and Metropolitan Area Networks, IEEE LANMAN 2016 en
dc.internal.conferencelocation Rome, Italy en
dc.internal.IRISemailaddress en
dc.identifier.articleid 7548861
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Investigator Programme/13/IA/1892/IE/An Internet Infrastructure for Video Streaming Optimisation (iVID)/ en

Files in this item

This item appears in the following Collection(s)

Show simple item record

This website uses cookies. By using this website, you consent to the use of cookies in accordance with the UCC Privacy and Cookies Statement. For more information about cookies and how you can disable them, visit our Privacy and Cookies statement