Modeling Techniques for PCS Networks

Over the past few years there has been rapid growth in the demand for mobile communications that has led to intensive research and development of complex PCS (personal communication service) networks. Capacity planning and performance modeling are necessary to maintain a high quality of service to the PCS subscriber while minimizing costs. Effective and practical performance models for large-scale PCS networks are currently available. Two new performance models are presented in this paper which can be solved using analytical techniques. The first model is the so-called the portable population model which is based on the the flow equivalent assumption (the rate of portables into a cell equals the rate of portables move out of the cell). The model provides the steady-state portable population distribution in a cell which is independent of the portable residual time distribution, which can be used by simulations to reduce the necessary execution time by reaching the steady state more rapi..