Mobile model and location management for PCS systems

The fluid-flow model is suitable for vehicle traffic on highways but not for pedestrian movements with frequent "stop-and-go" behavior. Considering the change of a mobile's velocity within a short time is limited due to physical restrictions, therefore a mobile user's future velocity is likely to be correlated with its past and current velocity. Since Gauss-Markov model captures the essence of the correlation of a mobile's velocity in time, we propose a Gauss-Markov process based fluid model that it is suitable for both vehicle traffic on highways and pedestrian in street, and presents the total cost of location management for the Gauss-Markov process based fluid model. The performance evaluation and comparison of the Gauss-Markov process based fluid model location update scheme and existing fluid model based location update scheme are studied.