DocumentCode :
2518270
Title :
QoS-Aware Scheduling and Resource Allocation for Video Streams in e-MBMS Towards LTE-A System
Author :
Lou, Chong ; Qiu, Ling
Author_Institution :
Personal Commun. Network & Spread Spectrum Lab., Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2011
fDate :
5-8 Sept. 2011
Firstpage :
1
Lastpage :
5
Abstract :
Given that statistical multiplexing of video streams is employed in enhanced Multimedia Broadcast/Multicast Service (e-MBMS), we address the issue of scheduling across the streams towards Advanced-Long Term Evolution (LTE-A) system, in order to improve the quality of service (QoS) performances. In this paper, the optimization problem of scheduling and resource allocation for separate streams is first formulated. With practical considerations including the terminal power consumption and MBMS over a Single Frequency Network (MBSFN) operation, hence a suboptimum QoS-aware two-layer scheduling scheme is proposed to allocate resources among the streams. By separating streaming scheduling and packet sorting, the scheduler is aware of queue state information, fairness among the streams, and the frame weight. Simulations results with H.264/AVC coded video sequences show that significant gains could be observed by our scheme in terms of spectrum efficiency, QoS of packet loss, and video quality while maintaining the fairness among the streams.
Keywords :
Long Term Evolution; data compression; multimedia communication; multiplexing; optimisation; quality of service; resource allocation; scheduling; video coding; video streaming; H.264-AVC coded video sequences; LTE-A system; MBSFN operation; QoS-aware scheduling; advanced-Long Term Evolution system; e-MBMS; enhanced multimedia broadcast-multicast service; packet loss; quality of service performances; queue state information; resource allocation; single frequency network operation; spectrum efficiency; statistical multiplexing; video quality; video streams; Delay; Multiplexing; Quality of service; Resource management; Scheduling; Scheduling algorithm; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location :
San Francisco, CA
ISSN :
1090-3038
Print_ISBN :
978-1-4244-8328-0
Type :
conf
DOI :
10.1109/VETECF.2011.6092823
Filename :
6092823
Link To Document :
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