Cross-layer wireless multimedia transmission: challenges, principles, and new paradigms
IEEE Wireless Communications
Media Flow Rate Allocation in Multipath Networks
IEEE Transactions on Multimedia
Cross-layer design for wireless networks
IEEE Communications Magazine
Application-driven cross-layer optimization for video streaming over wireless networks
IEEE Communications Magazine
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Multiuser resource allocation maximizing the perceived quality
EURASIP Journal on Wireless Communications and Networking - Special issue on OFDMA architectures, protocols, and applications
Distributed media-aware rate allocation for wireless video streaming
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Loss-distortion estimation for practical H.264/AVC streams
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Priority based pricing for data traffic in WiMAX network
WONS'10 Proceedings of the 7th international conference on Wireless on-demand network systems and services
Utilizing buffered YouTube playtime for QoE-oriented scheduling in OFDMA networks
Proceedings of the 24th International Teletraffic Congress
DataTraffic Monitoring and Analysis
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We propose a cross-layer optimization strategy that jointly optimizes the application layer, the data-link layer, and the physical layer of a wireless protocol stack using an application-oriented objective function. The cross-layer optimization framework provides efficient allocation of wireless network resources across multiple types of applications run by different users to maximize network resource usage and user perceived quality of service. We define a novel optimization scheme based on the mean opinion score (MOS) as the unifying metric over different application classes. Our experiments, applied to scenarios where users simultaneously run three types of applications, namely voice communication, streaming video and file download, confirm that MOS-based optimization leads to significant improvement in terms of user perceived quality when compared to conventional throughput-based optimization.