Modelling dependency in multimedia streams
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Analysis of Skype VoIP traffic in UMTS: End-to-end QoS and QoE measurements
Computer Networks: The International Journal of Computer and Telecommunications Networking
A new framework for MPEG video delivery over heterogeneous networks
Computer Communications
Quality of Experience management framework for real-time multimedia applications
International Journal of Internet Protocol Technology
Video Artifacts Assessment for Live Mobile Streaming Applications
FMN '09 Proceedings of the 2nd International Workshop on Future Multimedia Networking
QoE oriented cross-layer design of a resource allocation algorithm in beyond 3G systems
Computer Communications
End-to-end qos issues of MPEG4-FGS video streaming traffic delivery in an IP/UMTS network
MMNS'06 Proceedings of the 9th IFIP/IEEE international conference on Management of Multimedia and Mobile Networks and Services
An overview of quality of experience measurement challenges for video applications in IP networks
WWIC'10 Proceedings of the 8th international conference on Wired/Wireless Internet Communications
IEEE Communications Magazine
Optimized video streaming over 802.11 by cross-layer signaling
IEEE Communications Magazine
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Real-time multimedia will be among the most important applications in next generation mobile networks. However, the efficient delivery of these applications to guarantee Quality of Experience (QoE) to fixed and mobile users in multimedia-aware networks is still a research challenge. This paper proposes new approaches to keep voice and video applications with an acceptable quality level in mobile wireless networks with scarce resources and investigates the impact of different video coding parameters on the QoE of voice sessions and real video sequences. Simulation experiments were carried out in a mobile multimedia system to show the benefits of the proposed QoE optimizations, by analyzing well-known QoE objective and subjective metrics.