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
Implementation and performance study of IEEE 802.21 in integrated IEEE 802.11/802.16e networks
Computer Communications
Quality of Experience Measurements for Video Streaming over Wireless Networks
ITNG '09 Proceedings of the 2009 Sixth International Conference on Information Technology: New Generations
Scheduling in IEEE 802.16e Mobile WiMAX networks: key issues and a survey
IEEE Journal on Selected Areas in Communications - Special issue on broadband access networks: Architectures and protocols
A practical QoS solution to voice over IP in IEEE 802.11 WLANs
IEEE Communications Magazine
User measures of quality of experience: why being objective and quantitative is important
IEEE Network: The Magazine of Global Internetworking - Special issue on improving quality of experience for network services
CNSR '10 Proceedings of the 2010 8th Annual Communication Networks and Services Research Conference
GOP size influence in high resolution video streaming over wireless mesh network
ISCC '10 Proceedings of the The IEEE symposium on Computers and Communications
An enhanced information server for seamless vertical handover in IEEE 802.21 MIH networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
QoS guaranteed integration methodology for a WLAN-WiMAX heterogeneous network
Computers and Electrical Engineering
Efficient motion vector prediction algorithm using pattern matching
Journal of Visual Communication and Image Representation
Journal of Network and Computer Applications
A predictive handover scheme to improve service quality in the IEEE 802.21 network
Computers and Electrical Engineering
An overview of IEEE 802.21: media-independent handover services
IEEE Wireless Communications
A study of real-time packet video quality using random neural networks
IEEE Transactions on Circuits and Systems for Video Technology
Inferring video QoE in real time
IEEE Network: The Magazine of Global Internetworking
Video quality estimator for wireless mesh networks
Proceedings of the 2012 IEEE 20th International Workshop on Quality of Service
Motion Adaptive Deinterlacing With Modular Neural Networks
IEEE Transactions on Circuits and Systems for Video Technology
QoE-based packet drop control for 3D-video streaming over wireless networks
Proceedings of the 7th Latin American Networking Conference
Framework for the integrated video quality assessment
Multimedia Tools and Applications
Integration, the VLSI Journal
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The convergence of real-time multimedia applications, the increasing coverage of heterogeneous wireless networks and the ever-growing popularity of mobile devices are leading to an era of mobile human-centric multimedia services. In this scenario, heterogeneous communications will co-exist and ensure that the end-user is always best connected. The rigorous networking demands of wireless multimedia systems, beyond quality-oriented control strategies, are necessary to guarantee the best user experience over time. Therefore, the Quality of Experience (QoE) support, especially for 2D or 3D videos in multi-operator environments, remains a significant challenge and is crucial for the success of multimedia systems. This paper proposes a QoE Handover Architecture for Converged Heterogeneous Wireless Networks, called QoEHand. QoEHand extends the Media Independent Handover (MIH)/IEEE 802.21 with QoE-awareness, seamless mobility and video adaptation by integrating a set of QoE-based decision-making modules into MIH, namely a video quality estimator, a dynamic class of service mapping and content adaptation schemes. The QoEHand video estimator, mapping and adaptation components operate by coordinating information about video characteristics, available wireless resources in IEEE 802.11e and IEEE 802.16e service classes, and QoE-aware human experience. The video quality estimator works without the need for any decoding, which saves time and minimises processing overheads. Simulations were carried out to show the benefits of QoEHand and its impact on user perception by using objective and subjective QoE metrics.