AMR mode selection enhancement in 3G networks
Multimedia Tools and Applications
Analysis of Skype VoIP traffic in UMTS: End-to-end QoS and QoE measurements
Computer Networks: The International Journal of Computer and Telecommunications Networking
Study of the Impact of UMTS Best Effort Parameters on QoE of VoIP Services
ICAS '09 Proceedings of the 2009 Fifth International Conference on Autonomic and Autonomous Systems
Open IMS Core with VoIP Quality Adaptation
ICAS '09 Proceedings of the 2009 Fifth International Conference on Autonomic and Autonomous Systems
Adaptive Speech Quality Management in Voice-over-IP Communications
AICT '09 Proceedings of the 2009 Fifth Advanced International Conference on Telecommunications
An Alternative Approach for Header Compression Over Wireless Mesh Networks
WAINA '09 Proceedings of the 2009 International Conference on Advanced Information Networking and Applications Workshops
Voice quality prediction models and their application in VoIP networks
IEEE Transactions on Multimedia
QoS issues in the converged 3G wireless and wired networks
IEEE Communications Magazine
An autonomous QoE-driven network management framework
Journal of Visual Communication and Image Representation
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Most of the currently available adaptation solutions of VoIP over UMTS are based on the modification of service parameters as the only available reaction against any detected service degradation. On the contrary, in this paper we propose a combined approach where service-level adaptation is considered first and, provided that no suitable parameter combination is capable of providing enough QoE, a change of network state will be suggested. In order to do so we analyze the performance of the end-to-end (e2e) performance metrics in this convergent scenario, the root causes of possible degradations and, finally, the combined effects of the different network segments and their impact on the user perceived QoE. We show the map of best performing VoIP configurations for every state of the network segments. Furthermore, considering each of these configurations, we analyze the acceptability of the service or the convenience of trying to modify the network state. Finally, a lightweight implementation based on simple network state estimation and decision heuristics is proposed and validated in terms of accuracy and responsiveness.