Anticipatory Buffer Control and Resource Allocation for Wireless Video Streaming
This addresses resource allocation for wireless video streaming, offering incremental improvements in efficiency for network providers and users.
The paper tackles the problem of optimizing wireless video streaming by jointly allocating channel resources and buffer size using channel state predictions, resulting in a Linear Program that enables serving more users at perfect video quality in simulations.
This paper describes a new approach for allocating resources to video streaming traffic. Assuming that the future channel state can be predicted for a certain time, we 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, we 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, our simulation results show that anticipating poor channel states and pre-loading the buffer accordingly allows to serve more users at perfect video quality.