A Graphical Study of the Timer Based Method for Location Management with the Blocking Probability

Due to the increase in the number of users in mobile communications networks, the minimization of the signaling costs associated with the roaming of the users throughout the coverage area has become a key research topic. In this sense, several algorithms have been proposed in recent years for location management, with the timer-based method achieving an excellent trade-off in terms of performance and ease of implementation. Within this field, an accurate modeling of the users' behavior in terms of location management parameters is still a pending task. In this article, in order to gain a deep understanding of some of the parameters associated with the mobile users' behavior and involved in the timer-based method, we analyze the variability of the blocking probability to a Location Area (LA) with the service rate, timeout period, and expected and actual numbers of mobile terminals in the LAs

[1]  Takehiko Kobayashi,et al.  Terminal Migration Model in which Cell Dwell Time is Defined by Different Probability Distributions in Different Cells(Special Section on Multi-dimensional Mobile Information Networks) , 2002 .

[2]  Chang-Hoon Lie,et al.  A Dynamic Anchor-Area Scheme Using a Timer Value and a Movement List for PCS Networks , 2008, IEICE Trans. Commun..

[3]  Rahim Tafazolli,et al.  Performance analysis for GPRS with prioritized and non-prioritized mobility management procedures , 2002 .

[4]  Kyandoghere Kyamakya,et al.  A regular path recognition method and prediction of user movements in wireless networks , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[5]  Yi-Bing Lin,et al.  Modeling techniques for large-scale PCS networks , 1997, IEEE Commun. Mag..

[6]  Ian F. Akyildiz,et al.  Reducing the paging costs under delay bounds for PCS networks , 2000, 2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540).

[7]  Xiao Hong,et al.  Simulations for a Mobility Management strategy for GPRS , 2010, 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering.

[8]  Youngsong Mun,et al.  Steady State Analysis of QP-MIP for Location Management , 2008, PDPTA.

[9]  S. Kourtis,et al.  Modelling cell residence time of mobile terminals in cellular radio systems , 2002 .

[10]  Maurizio Naldi Internet access traffic sharing in a multi-operator environment , 2002, Comput. Networks.

[11]  Yoshiyasu Nishibe,et al.  Analyzing social interactions in a mobile computing environment and application to agent communication service: Experiments under the ICMAS'96 mobile assistant project , 2001, Systems and Computers in Japan.