User-oriented QoS analysis in MPEG-2 video delivery
Real-Time Imaging - Special issue on real-time digital video over multimedia
Scheduling real-time traffic with deadlines over a wireless channel
Wireless Networks
Channel-Aware Earliest Deadline Due Fair Scheduling for Wireless Multimedia Networks
Wireless Personal Communications: An International Journal
Realistic mobility simulation of urban mesh networks
Ad Hoc Networks
A comprehensive view on user studies: survey and open issues for mobile TV
Proceedings of the seventh european conference on European interactive television conference
User acceptance of mobile TV services
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
Forward error correction for multipath media streaming
IEEE Transactions on Circuits and Systems for Video Technology
An opportunistic video scheduling algorithm over shared wireless downlink
Computer Communications
Scheduling and resource allocation for SVC streaming over OFDM downlink systems
IEEE Transactions on Circuits and Systems for Video Technology
Multicast scheduling with resource fairness constraints
Wireless Networks
CDMA/HDR: a bandwidth efficient high speed wireless data service for nomadic users
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
Scheduling algorithms for video multicasting with channel diversity in wireless OFDMA networks
MobiHoc '11 Proceedings of the Twelfth ACM International Symposium on Mobile Ad Hoc Networking and Computing
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We consider how relatively simple extensions of popular channel-aware schedulers can be used to multicast scalable video streams in high speed radio access networks. To support the evaluation, we first describe a model of the channel distortion of scalable video coding and validate it using eight commonly used test sequences. We use the distortion model in a detailed simulation setup to compare the performance of six schedulers, among them the Max-Sum and Max-Prod schedulers, which aim to maximize the sum and the product of streaming utilities, respectively. We investigate how the traffic load, user mobility, layering structure, and users' aversion of fluctuating distortion influence the streaming performance. Our results show that the Max-Sum scheduler performs better than other considered schemes in almost all scenarios. With the Max-Sum scheduler, the gain of scalable video coding compared to non-scalable coding is substantial, even when users do not tolerate frequent changes in video quality.