Perceptual experience oriented transmission scheduling for scalable video streaming over cognitive radio networks

Cognitive radio (CR) promotes the utilization of the wireless spectrum through admitting the secondary users to access the primary channels in an opportunistic manner. Therefore, the real-time video streaming over the CR network is challenging due to the time-varying channels. In this paper, we propose an adaptive scalable video transmission scheduling method for video streaming over time-varying channels in CR network, in which the end-to-end perceptual visual experience is optimized systematically by considering various experience-influencing factors of the scalable video source, channel, and receiving buffer. Moreover, an enhanced content-based adaptive video playout scheme is developed to further optimize the end-to-end perceptual visual experience by decreasing the receiving buffer underflow probability. The efficiency and effectiveness of the proposed method has been validated by both analytical study and extensive experimental results.