Concept of time varying binary symmetric model-channel uncertainty modeling

Abstract

In this paper, we develop the concept of time varying binary symmetric channel (TV-BSC) model, a basic model that shows a non-trivial influence on capacity due to the channel uncertainty and characterizes the important attributes of more general time varying mobile communications channels. That an influence of the channel uncertainty is captured serves to significantly differentiate the model from other two-state Markov models, especially from the Gilbert-Elliott model. We use several methods to calculate the information capacity of the TV-BSC. Furthermore, we find accurate approximations for the TV-BSC information capacity, providing better inside into the capacity analysis of general time varying communications channels. Finally, we present the generalization on the TV-BSC model and the concept of the communication channel with time varying memory to further confirm the uniqueness of the model