FINITE-STATE MARKOV CHANNEL - A USEFUL MODEL FOR RADIO-COMMUNICATION CHANNELS

In this paper, we first study the behavior of a finite-state channel where a binary symmetric channel is associated with each state and Markov transitions between states are assumed. Such a channel is referred to as a finite-state Markov channel (FSMC), By partitioning the range of the received singal-to-noise ratio into a finite number of intervals, FSMC models can be constructed for Rayleigh fading channels, Theoretical approach is conducted to show the usefulness of FSMC's compared to that of two-state Gilbert-Elliott channels, The crossover probabilities of the binary symmetric channels associated with its states are calculated, We use the second-order statistics of the received SNR to approximate the Markov transition probabilities. The validity and accuracy of the model are confirmed by the state equilibrium equations and computer simulation.