The wireless channel between the base station and the wireless host
is modeled to have two states - good and bad. In the good state, the
channel is a constant and low bit-error probability. In the bad
state, the channel error is in general a complex-value random variable.
Its amplitude is given by a Rayleigh distribution [10], with the
cumulative probability distribution being given by -
and its phase is always uniformly distributed between 0 and 
.
For our purposes, it is however, sufficient to model it as having a high error probability in the bad state. Hence, for our model, the wireless channel is modeled as a two-state Markov modulated process, with one a low error probability and the other a high error probability state, which corresponds to stable high-quality channel conditions and fade conditions.