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Simulation of controlled queuing systems and its application to optimal resource management in multiservice cellular networks

We consider a controlled queuing model and derive the corresponding Markov decision process for simple G/M/1 call admission controller. As an application of the controlled queuing model, we look into an optimal resource management problem arising in the context of multiservice cellular network with reuse partitioning. In particular, we consider a channel borrowing scheme between zones in two-zone reuse partitioning in a two-class cellular network and investigated the performance of various channel borrowing policies via simulation. We also introduce the simulator developed for controlled queuing systems. Most importantly, we demonstrate that Markov decision processes are well suited to this kind of optimization problem.