Random neural networks with multiple classes of signals
Neural Computation
Controlling Multimedia QoS in the Future Home Network Using the PSQA Metric
The Computer Journal
Quality assessment of interactive voice applications
Computer Networks: The International Journal of Computer and Telecommunications Networking
Does context matter in quality evaluation of mobile television?
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
3G/HSPA performance in live networks from the end user perspective
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A study of real-time packet video quality using random neural networks
IEEE Transactions on Circuits and Systems for Video Technology
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While the layered OSI model for networks provides a very clean conceptual framework for network design, certain applications are not completely indifferent to what happens at the lower layers. This is particularly true for multimedia and other real-time applications, which usually have stringent constraints on network performance in order to deliver an acceptable Quality of Experience (QoE) to the user. Several cross-layer approaches for optimizing application quality have been proposed in the literature. In this paper we show how by combining network QoS measurements and application-level knowledge, significant improvements can be made to current management solutions.