An adaptive scheduling algorithm for video transmission over wireless packet networks

In this paper, we propose an adaptive and fair-scheduling algorithm for video streaming over wireless links. The algorithm selects the client to be served based on the instantaneous occupancy of the decoder buffers of the wireless clients as well as the channel states as seen by these clients in addition to the sensitivity of video frames. We consider a two-tier nonlinear predictor that helps in the selection process of the clients. When compared to other commonly-used scheduling algorithms, the proposed algorithm achieves better performance in terms of the individual and average buffer occupancies of the decoder buffers of the wireless clients as well as the end-to-end delay experienced by the video frames.