IEEE Transactions on Mobile Computing
Scalable video streaming over fading wireless channels
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Scheduling and resource allocation for SVC streaming over OFDM downlink systems
IEEE Transactions on Circuits and Systems for Video Technology
Packet scheduling scheme for real time video traffic in WCDMA downlink
CIC'02 Proceedings of the 7th CDMA international conference on Mobile communications
IEEE Transactions on Multimedia
Classification-Based System For Cross-Layer Optimized Wireless Video Transmission
IEEE Transactions on Multimedia
Video Packet Selection and Scheduling for Multipath Streaming
IEEE Transactions on Multimedia
Content-Aware Playout and Packet Scheduling for Video Streaming Over Wireless Links
IEEE Transactions on Multimedia
Content adaptive network aware joint optimization of wireless video transmission
IEEE Communications Magazine
Cross-layer scheduling with prescribed QoS guarantees in adaptive wireless networks
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Joint Source Adaptation and Resource Allocation for Multi-User Wireless Video Streaming
IEEE Transactions on Circuits and Systems for Video Technology
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A new cross-layer content/channel-aware downlink scheduling algorithm for wireless video streaming is presented. A novel mathematical model has been developed for the performance analysis of the proposed scheduling algorithm. Using novel content-aware and standard performance metrics, the performance of the scheduling algorithm is evaluated and optimized. The results show that there is an inherent conflict between content-awareness for enhanced video quality and channel-awareness for high channel capacity. The scheduling algorithm can be tuned to maximize the throughput of the most significant video packets, while minimizing the capacity penalty due to quality/capacity trade-off. The results also suggest that the level of content-awareness required for optimum performance at the scheduler and the achieved capacity, are highly sensitive to the delay constraint. The lower the delay constraint, the higher the importance of content-awareness and the lower the capacity. Under the parameters of the investigation in this paper, the results show that the capacity is 3.7 times more for a delay constraint of 10ms than for a zero delay constraint.