Pricing Based Collaborative Multi-User Video Streamming Over Power Constrained Wireless Downlink

Video streaming is becoming an important application in wireless communications. In a typical scenario, a base station needs to serve multiple video users with a total transmitting power constraint. How to make appropriate video coding decisions and allocate limited transmitting power among users to achieve optimal total utility is an important problem. In this paper we develop a pricing based downlink power allocation scheme with collaborative video summarization among users. The scheme exploits the multiuser diversity in channel states and utility-resource tradeoff characteristics in video contents to achieve better resource utilization. The computational burden can be distributed among video sources and base station. Simulation results demonstrate the effectiveness of the proposed algorithm.