Location management of correlated mobile users in the UMTS

Rung-Hung Gau*, Chung Wei Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)641-651
Number of pages11
JournalIEEE Transactions on Mobile Computing
Volume4
Issue number6
DOIs
StatePublished - 1 Nov 2005

Keywords

  • Mobility management
  • Paging
  • Statistical correlation
  • UMTS

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