Quality of Experience Measurements for Video Streaming over Wireless Networks
ITNG '09 Proceedings of the 2009 Sixth International Conference on Information Technology: New Generations
IEEE Transactions on Wireless Communications
A retransmission-based scheme for video streaming over wireless channels
Wireless Communications & Mobile Computing
A performance comparison of recent network simulators
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Study of subjective and objective quality assessment of video
IEEE Transactions on Image Processing
Dynamic rate and FEC adaptation for video multicast in multi-rate wireless networks
Mobile Networks and Applications
A GoP based FEC technique for packet based video streaming
ICCOM'06 Proceedings of the 10th WSEAS international conference on Communications
Intelligent rate control for supporting real-time traffic in WLAN mesh networks
Journal of Network and Computer Applications
A survey on wireless mesh networks
IEEE Communications Magazine
Forward error correction strategies for media streaming over wireless networks
IEEE Communications Magazine
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
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Real-time video transmission over wireless networks is now a part of the daily life of users, since it is the vehicle that delivers a wide range of information. The challenge of dealing with the fluctuating bandwidth, scarce resources and time-varying error levels of these networks, reveals the need for packet-loss resilient video transport. Given these conditions, Forward Error Correction (FEC) approaches are desired to ensure the delivery of video services for wireless users with Quality of Experience (QoE) assurance. This work proposes a Cross-layer Video-Aware FEC-based mechanism with Unequal Error Protection (UEP) scheme for packet loss resilient video transmission in wireless networks, which can increase user satisfaction and improve the use of resources. The advantages and disadvantages of the developed mechanism are highlighted through simulations and assessed by means of both subjective and objective QoE metrics.