Downlink OFDM scheduling and resource allocation for delay constraint SVC streaming

Efficient delivery of multimedia contents over wireless network is essential for future communication networks. However, content distribution and network engineering are traditionally studied separately, which leads to suboptimal network performance. In this paper, we consider the problem of scheduling and resource allocation for multi-user video streaming over downlink OFDM channels. The video streams are precoded with the SVC coding scheme, which offers both quality and temporal scalabilities. The OFDM technology provides the maximum flexibility of resource allocation in terms of time, frequency, and power. We propose a gradient-based scheduling and resource allocation algorithm, which explicitly takes account of video contents, deadline requirements, and the previous transmission results when calculating users' priority weights. Simulation results show that our proposed algorithm always outperforms the content-blind and deadline-blind algorithms, with a performance gain as much as 6 dB in terms of average user PSNR improvement in a congested network.