IEEE Transactions on Mobile Computing
Improving Scalable Video Transmission over IEEE 802.11e through a Cross-Layer Architecture
ICWMC '08 Proceedings of the 2008 The Fourth International Conference on Wireless and Mobile Communications
IEEE Journal on Selected Areas in Communications - Special issue on broadband access networks: Architectures and protocols
Downlink scheduling and resource allocation for OFDM systems
IEEE Transactions on Wireless Communications
The Virtue of Patience in Low-Complexity Scheduling of Packetized Media With Feedback
IEEE Transactions on Multimedia
IEEE Journal on Selected Areas in Communications
Mobile Video Transmission Using Scalable Video Coding
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
A Link Adaptation Scheme for Efficient Transmission of H.264 Scalable Video Over Multirate WLANs
IEEE Transactions on Circuits and Systems for Video Technology
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Multicast scheduling for scalable video streaming in wireless networks
MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systems
Cross-layer content/channel aware multi-user scheduling for downlink wireless video streaming
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Video networking: trends and challenges
Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia
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We consider the problem of scheduling and resource allocation for multiuser video streaming over downlink orthogonal frequency division multiplexing (OFDM) channels. The video streams are precoded using the scalable video coding (SVC) scheme that offers both quality and temporal scalabilities. The OFDM technology provides the flexibility of resource allocation in terms of time, frequency, and power. We propose a gradient-based scheduling and resource allocation algorithm, which prioritizes the transmissions of different users by considering video contents, deadline requirements, and transmission history. Simulation results show that the proposed algorithm outperforms the content-blind and deadline-blind algorithms with a gain of as much as 6 dB in terms of average PSNR when the network is congested.