Scheduling and resource allocation for SVC streaming over OFDM downlink systems

We consider the problem of scheduling and resource allocation for multiuser video streaming over downlink orthogonal frequency division multiplexing (OFDM) channels. The video streams are precoded using the scalable video coding (SVC) scheme that offers both quality and temporal scalabilities. The OFDM technology provides the flexibility of resource allocation in terms of time, frequency, and power. We propose a gradient-based scheduling and resource allocation algorithm, which prioritizes the transmissions of different users by considering video contents, deadline requirements, and transmission history. Simulation results show that the proposed algorithm outperforms the content-blind and deadline-blind algorithms with a gain of as much as 6 dB in terms of average PSNR when the network is congested.