Real-time network-aware optimal rate control for video communication networks using an augmented state feedback controller

A real-time adaptive rate control algorithm for video transmission is presented. The proposed algorithm aims to determine the optimal rate at which the video should be sent through the network in order to minimize the expected distortion while meeting the delay requirements. The packet loss rate is assumed to be a function of the transmission rate. The nodes of the network over which video packets are transmitted determine this function, possibly based on the congestion level of the network. Since this function is unknown an augmented state feedback regulator is introduced to control the packet loss rate by adjusting the transmission rate of the video. The expected distortion is calculated by dynamic programming at the source based on the desired packet-loss and transmission rate pair and then the optimal transmission rate is chosen among feasible transmission rates. Simulation results are presented to establish the significant improvement in performance.