A newly developed random walk model for PCS network
DOI:
https://doi.org/10.26636/jtit.2005.1.275Keywords:
cell cluster, random walk, subarea n, state transition, probability matrix, expected number of stepsAbstract
Different types of random walk models are prevalent in mobile cellular network for analysis of roaming and handover, being considered as important parameters of traffic measurement and location updating of such network. This paper proposes a new random walk model of hexagonal cell cluster, exclusively developed by the authors and a comparison is made with two existing models. The proposed model shows better performance in context of number of probability states compared to existing models.
Downloads
References
[1] I. F. Akyildiz, Y.-B. Lin, W.-R. Lai, and R.-J. Chen, „A new random walk model for PCS networks”, IEEE J. Selec. Area Commun., vol. 18, pp. 1254-1260, 2000.
View in Google Scholar
[2] G. Xue, „An improved random walk model for PCS networks”, IEEE Trans. Commun., vol. 50, no. 8, pp. 1224-1226, 2002.
View in Google Scholar
[3] I. F. Akyildiz, J. S. M. Ho, and Y.-B. Lin, „Movement-based location update and selective paging for PCS network”, IEEE/ACM Trans. Netw., vol. 4, no. 4, pp. 638-639, 1996.
View in Google Scholar
[4] T. Veerarajan, Probability, Statistics and Random Processes. 2nd ed. McGraw-Hill, 2003.
View in Google Scholar
[5] S. M. Ross, Introduction to Probability Models. 7th ed. Harcourt
View in Google Scholar
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2005 Journal of Telecommunications and Information Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.