RTOP: optimal user grouping and SFN clustering for multiple eMBMS video sessions
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Accepted Version
Date
2019-05
Authors
Khalid, Ahmed
Zahran, Ahmed H.
Sreenan, Cormac J.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published Version
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.
Description
Keywords
3G mobile communication , Broadcast communication , Cellular radio , Multicast communication , Optimisation , Radio spectrum management , Video streaming , Scarce wireless resource utilization , Multiple eMBMS video sessions , Evolved multimedia broadcast multicast service , Neighboring base stations , Single frequency network , 3GPP standard , SFN clustering , Optimal user grouping , Average user bitrate , System utility , eMBMS users , RTOP , SFN clusters , Multiple bitrates , Operator-defined utility , Optimization problem , Cluster users , Worst channel condition , Multiple cell sites , Wireless spectrum , eNB , Real-time videos , Bit rate , Streaming media , Unicast , Optimization , Real-time systems
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
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