Video transmission over Cognitive Radio networks

Distributed Video Coding (DVC) techniques utilize source statistics and dependencies among video frames in either spatial or time domain to compress the video and improve the error resilience. DVC promises great potentials for wireless video applications due to its advantages of using simple encoders. However, transmitting large size video stream consumes much network resource and still remains a challenging problem in terms of the resource efficiency. Recently, Cognitive Radio (CR) networks have been investigated to improve the bandwidth utilization through efficient channel allocations. Joint design of DVC and resource allocation in CR networks can provide a better solution to improve both resource efficiency and Quality of Service (QoS) performance of video transmissions. In this paper, we propose an efficient joint design scheme in which the interdependencies between cognitive radio resource management and the application-level characteristics of video traffic are jointly considered. Our studies show that the proposed scheme can significantly improve video transmission performance over CR networks.