Joint Source Adaptation and Resource Allocation for Multi-User Wireless Video Streaming

Joint Source Adaptation and Resource Allocation for Multi-User Wireless Video Streaming. Jianwei, H., Zhu, L., Mung, C., & Katsaggelos, A K IEEE Transactions on Circuits and Systems for Video Technology, 18(5):582–595, 2008.
doi abstract bibtex

Multi-user video streaming over wireless channels is a challenging problem, where the demand for better video quality and small transmission delays needs to be reconciled with the limited and often time-varying communication resources. This paper presents a framework for joint network optimization, source adaptation, and deadline-driven scheduling for multi-user video streaming over wireless networks. We develop a joint adaptation, resource allocation and scheduling (JARS) algorithm, which allocates the communication resource based on the video users' quality of service, adapts video sources based on smart summarization, and schedules the transmissions to meet the frame delivery deadlines. The proposed algorithm leads to near full utilization of the network resources and satisfies the delivery deadlines for all video frames. Substantial performance improvements are achieved compared with heuristic schemes that do not take the interactions between multiple users into consideration. © 2006 IEEE.

@article{Jianwei2008,
abstract = {Multi-user video streaming over wireless channels is a challenging problem, where the demand for better video quality and small transmission delays needs to be reconciled with the limited and often time-varying communication resources. This paper presents a framework for joint network optimization, source adaptation, and deadline-driven scheduling for multi-user video streaming over wireless networks. We develop a joint adaptation, resource allocation and scheduling (JARS) algorithm, which allocates the communication resource based on the video users' quality of service, adapts video sources based on smart summarization, and schedules the transmissions to meet the frame delivery deadlines. The proposed algorithm leads to near full utilization of the network resources and satisfies the delivery deadlines for all video frames. Substantial performance improvements are achieved compared with heuristic schemes that do not take the interactions between multiple users into consideration. {\textcopyright} 2006 IEEE.},
author = {Jianwei, Huang and Zhu, Li and Mung, Chiang and Katsaggelos, A K},
chapter = {582},
doi = {10.1109/tcsvt.2008.919109},
isbn = {1051-8215
1558-2205},
journal = {IEEE Transactions on Circuits and Systems for Video Technology},
keywords = {Collaborative video streaming,Optimization decompo},
number = {5},
pages = {582--595},
title = {{Joint Source Adaptation and Resource Allocation for Multi-User Wireless Video Streaming}},
volume = {18},
year = {2008}
}

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