University of Toledo
In this paper, the authors describe a new approach for allocating resources to video streaming traffic. Assuming that the future channel state can be predicted for a certain time, they minimize the fraction of the bandwidth consumed for smooth streaming by jointly allocating wireless channel resources and play-out buffer size. To formalize this idea, they introduce a new model to capture the dynamic of a video streaming buffer and the allocated spectrum in an optimization problem. The result is a Linear Program that allows to trade off buffer size and allocated bandwidth. Based on this tractable model, their simulation results show that anticipating poor channel states and pre-loading the buffer accordingly allows serving more users at perfect video quality.