We present a mobility model for simulations of scenarios in UMTS networks. This new model has been developed to overcome the shortcomings of previous models in capturing mobile user behavior. The proposed model strikes a balance between the abstraction level of purely stochastic models which lack certain important properties of the real world and completely deterministic models. The proposed model generates destinations of the mobile users based on the maximization of entropy of the gravity model which was first used in transportation planning and which has proven invaluable in urban planning. Subsequently, the model then allows the detailed tracking of users, in particular, the path of mobile users based on some known statistical behaviors of the mobile users, such as service arrival rates, service holding times, velocities, etc. As tracking is done on a microscopic level, it is possible to simulate and collect parameters which are important for wireless network planning and optimization, without the use of unrealistic assumptions.
['Wee Cheong Lim', 'Yuen Sam Kwok', 'Boon Sain Yeo', 'Yong Huat Chew']
A mobility simulation platform for UMTS