Cross-layer resource allocation for delay-constrained wireless video transmission

We consider a set of wireless stations that transmit and receive real-time video over a wireless channel. In our analysis, each video packet experiences a single flat fading state (block fading model) and additive Gaussian noise. We assume that the flat fading parameters are known at both transmitter and receiver sides and that each packet is sufficiently long such that, through error correction, it it possible to recover it correctly at the receiver end. Under an analogous model optimal rate allocation policies have been developed in an information theoretic framework. These policies maximize aggregate throughput or minimize queueing delays, but do not explicitly consider the application layer parameters in the rate allocation. We are interested in developing the framework to derive the optimum rate adaptation for video sources and evaluating the aggregate PSNR achievable with an optimal cross-layer design combining Application-MAC-PHY layers.