a dynamic location update management algorithm in cellular mobile networks

future increase of mobile communication subscribers will require a great capacity expansion of the cellular systems. in order to accommodate the increasing number of subscribers, the cell size will have to be much smaller than current size. therefore, it is predictable that the location updating and paging procedures will produce a major part of signaling traffic in these networks. this paper proposes a location management algorithm for cellular networks that dynamically extract the location and paging areas for every user, based on the user profile. the user profile contains the number of movements between cells and average duration spent in each visited cell. a mobility model is developed to simulate daily movements of the subscribers and used to compare the performance of the proposed dynamic algorithm with current strategy in gsm networks. the results of simulation indicate that the dynamic algorithms significantly outperform the static algorithm, in terms of total location management cost.