In mobile communications, mobility modeling is involved in several aspects such as signaling and traffic load analysis. In particular, the accuracy of mobility models become essential for the evaluation of system design alternatives and network implementation cost issues. In this paper, we propose a mobility model which is appropriate for the practical analysis of the full range of mobile communications design issues. The model provides different levels of details for the user mobility behavior and can be adapted to any environment topology. This random direction based model can be applied in analytical purpose. This model is described by motion direction and user velocity. The motion direction of users is related to real street patterns and is modeled by discrete time and discrete state Gauss Markov. The velocity of users is modeled as Gaussian with variable mean and variance with respect to traffic factor. Simulation results confirm the preferences of the proposed method in both simulation and analytical estimations.

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Absrruce Location Management (LM) as a vital process in every wireless network imposes significant volume of signalling traffic to the network. Different schemes have been proposed to decrease the cost of this signalling. Direction-Based Location Management (DBLU) is a method which users update their location whenever they change the direction 131. The line paging strategy of this method, reduces the amount of paging cost compared to the other methods which use ring-by-ring paging scheme. In this paper, we propose a new method with a line paging strategy based on mobility and incoming call rates of mobile users. Simulation results show that our proposed scheme has a better performance w.r.t the amount of overhead compared to the conventional methods.

Location Management (LM) as a vital process in every wireless network imposes significant volume of signaling traffic to the network. Different scheme have been proposed to decrease the cost of thissignaling. In this paper we propose a new scheme that reduces signaling load specially in the future wireless networks with a great amount of users besides new services. In this method, mobile terminals will be able to communicate with each other via Ad hoc networking. Results of Simulations show that the proposed scheme has better performance compared with Time-based LM method.