Resource allocation for scalable video streaming in highway VANET

In vehicular ad-hoc network (VANET), the popular video transmission service can serve people with live traffic information, real-time news or even high-definition movies, which can assist people to drive on the road and enhance their driving experience. In this paper, we propose a dynamic programming based algorithm for the resource allocation problem of scalable video streaming through long term evolution (LTE) networks in highway VANET. We manage vehicular mobility by using small group of pictures (GOP) sized scalable video coding (SVC) encoder and valid signal-to-interference-and-noise ratio (SINR) estimator. We also adopt adaptive receive window of GOP to enhance the resource utilization efficiency as well as video quality. The simulation results demonstrate the efficiency of the proposed algorithm.