Modeling and analysis of robust header compression performance

We present a modeling framework for studying header compression performance. For the first time, a source model is developed for header compression. By varying the source and channel models in our framework, different source and deployment scenarios can be modeled. Using this new paradigm, we study the tradeoff dependencies between performance metrics. We also demonstrate how a scheme can be designed to optimize tradeoffs based on the desired level of performance.