Parameterization of Aggregated Renewal Markov Processes for DVB-H Simulations

In this paper, we consider aggregated Markov processes, which are a subclass of hidden Markov models. Artificial limitations are set on the state transition probabilities of the models to make them renewal processes; these restrictions are then used to find efficient methods of parameter estimation for realizations of the considered models. We apply these models in simulating the performance of Digital Video Broadcasting - Handheld (DVB -H). The parameters of the packet error models are approximated as functions of the time-variant received signal strength and speed of a mobile vehicular DVB-H receiver, and it is shown that useful results may be achieved with the described packet error models especially in simulating mobile reception in field conditions.