Issue No. 06 - November/December (2005 vol. 4)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TMC.2005.89
Rung-Hung Gau , IEEE
In this paper, we propose concurrently searching for correlated mobile users in mobile communications networks. Previous work either focuses on locating a single mobile user or assumes that the locations of mobile users are statistically independent. We first propose a mobility model in which the movements of mobile users are statistically correlated. Next, we use the theory of Markov chain to derive the joint probability density function of the locations of mobile users. In addition, we propose a novel approach to discover the correlations among the locations of mobile users without explicitly calculating the joint probability density function. Our simulation results indicate that exploring the correlations among the locations of mobile users could significantly reduce the average paging delay and increase the maximum stable throughput.
Index Terms- Mobility management, paging, statistical correlation, UMTS.
C. Lin and R. Gau, "Location Management of Correlated Mobile Users in the UMTS," in IEEE Transactions on Mobile Computing, vol. 4, no. , pp. 641-651, 2005.