RTOP: optimal user grouping and SFN clustering for multiple eMBMS video sessions

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dc.contributor.author Khalid, Ahmed
dc.contributor.author Zahran, Ahmed H.
dc.contributor.author Sreenan, Cormac J.
dc.date.accessioned 2019-07-16T11:27:04Z
dc.date.available 2019-07-16T11:27:04Z
dc.date.issued 2019-05
dc.identifier.citation Khalid, A., Zahran, A. H. and Sreenan, C. J. (2019) 'RTOP: optimal user grouping and SFN clustering for multiple eMBMS video sessions', IEEE INFOCOM 2019 - IEEE Conference on Computer Communications, Paris, France, 29 April-2 May, pp. 433-441. doi: 10.1109/INFOCOM.2019.8737643 en
dc.identifier.startpage 433 en
dc.identifier.endpage 441 en
dc.identifier.isbn 978-1-7281-0515-4
dc.identifier.isbn 978-1-7281-0516-1
dc.identifier.issn 0743-166X
dc.identifier.uri http://hdl.handle.net/10468/8170
dc.identifier.doi 10.1109/INFOCOM.2019.8737643 en
dc.description.abstract Evolved Multimedia Broadcast Multicast Service (eMBMS) is a 3GPP standard that improves the utilization of scarce wireless resources and the quality of the received content. eMBMS uses a Single Frequency Network (SFN) to transmit real-time videos over synchronized resources across neighboring base stations (eNBs) and allows users to share wireless spectrum across multiple cell sites. However the user with the worst channel condition and the eNB with the least available resources limit the throughput of a session. To overcome such limitations, the SFN can be divided into non-overlapping clusters of eNBs and in each cluster users can be split into groups. We formulate an optimization problem that maximizes an operator-defined utility for multiple eMBMS sessions served at multiple bitrates by choosing the optimal set of SFN clusters and user groups for each session. We propose an algorithm, RTOP, that finds the optimal or a near-optimal solution in real-time regardless of the number of eMBMS users. Our extensive simulations indicate that, in comparison to state-of-the-art schemes, RTOP improves the system utility and average user bitrate by up to 14% and 90% respectively. Additionally, we show that the utility of RTOP always stays within a 1% gap from the optimal solution. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en
dc.relation.ispartof IEEE INFOCOM 2019 - IEEE Conference on Computer Communications
dc.relation.uri https://ieeexplore.ieee.org/abstract/document/8737643
dc.relation.uri https://infocom2019.ieee-infocom.org/
dc.rights © 2019, 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 3G mobile communication en
dc.subject Broadcast communication en
dc.subject Cellular radio en
dc.subject Multicast communication en
dc.subject Optimisation en
dc.subject Radio spectrum management en
dc.subject Video streaming en
dc.subject Scarce wireless resource utilization en
dc.subject Multiple eMBMS video sessions en
dc.subject Evolved multimedia broadcast multicast service en
dc.subject Neighboring base stations en
dc.subject Single frequency network en
dc.subject 3GPP standard en
dc.subject SFN clustering en
dc.subject Optimal user grouping en
dc.subject Average user bitrate en
dc.subject System utility en
dc.subject eMBMS users en
dc.subject RTOP en
dc.subject SFN clusters en
dc.subject Multiple bitrates en
dc.subject Operator-defined utility en
dc.subject Optimization problem en
dc.subject Cluster users en
dc.subject Worst channel condition en
dc.subject Multiple cell sites en
dc.subject Wireless spectrum en
dc.subject eNB en
dc.subject Real-time videos en
dc.subject Bit rate en
dc.subject Streaming media en
dc.subject Unicast en
dc.subject Optimization en
dc.subject Real-time systems en
dc.title RTOP: optimal user grouping and SFN clustering for multiple eMBMS video sessions en
dc.type Conference item en
dc.internal.authorcontactother Cormac Sreenan, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: c.sreenan@cs.ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2019-07-16T11:19:54Z
dc.description.version Accepted Version en
dc.internal.rssid 493023033
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.internal.copyrightchecked No
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation Paris, France en
dc.internal.IRISemailaddress c.sreenan@cs.ucc.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Investigator Programme/13/IA/1892/IE/An Internet Infrastructure for Video Streaming Optimisation (iVID)/ en
dc.identifier.eissn 2641-9874


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