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Modeling of voice data integrated traffic in 3G mobile cellular network

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The most important feature of 3G mobile cellular network is introduction of voice data integrated service under multilayered cell environment to support overflow traffic of lower layered cells by upper ones. This paper deals with traffic model of three layered cells, i.e., micro cell, macro cell and satellite cell. Here a new call admission control is introduced for three layered cell of 3G mobile cellular network. State transition chain is designed for theoretical analysis of above mentioned traffic. Blocking probability of data call, new voice call and handover failure of voice call, probability of utilization of micro cell channel, macro cell channel and satellite cell channel are analyzed against different traffic parameters and yield logical results.
Rocznik
Tom
Strony
103--108
Opis fizyczny
Bibliogr. 19 poz., il.
Twórcy
autor
autor
autor
  • Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh, imdad22000@yahoo.com
Bibliografia
  • [1] K. Zhang and K. Pahlavan, “An integrated voice/data system for mobile indoor radio networks”, IEEE Trans. Veh. Technol., vol. 39, no. 1, pp. 75–82, 1990.
  • [2] K. Pahlavan and P. Krisnamurthy, Principles of Wireless Networks. New Delhi: Prentice-Hall, 2003.
  • [3] B. Jabbari and W. F. Fuhrmann, “Traffic modeling and analysis of flexible hierarchical cellular networks with speed-sensitive handoff strategy”, IEEE J. Selec. Areas Commun., vol. 15, no. 8, pp. 1539–1548, 1997.
  • [4] , “An analytical model of traffic performance of mobile cellular network in underlay overlay cell system”, in Proc. 6th Int. Conf. Comput. Inform. Technol. ICCIT, Dhaka, Bangladesh, 2003, vol. 1, pp. 230–234.
  • [5] K. L. Yeung and S. Nanda, “Channel management in micro/macro cellular radio systems”, IEEE Trans. Veh. Technol., vol. 45, no. 4, pp. 14–23, 1996.
  • [6] P. Fitzpatrick, C. S. Lee, and B. Warfield, “Teletraffic performance of mobile radio networks with hierarchical cells and overflow”, IEEE J. Selec. Areas Commun., vol. 15, no. 8, pp. 1549–1557, 1997.
  • [7] G. D. Morley and W. D. Grover, “Strategies to maximize carried traffic in dual-mode cellular systems”, IEEE Trans. Veh. Technol., vol. 49, no. 2, pp. 357–366, 2000.
  • [8] J. Mar and J. P. Huang, “Traffic performance analysis of integrated dual-band cellular radio network”, IEE Proc. Commun., vol. 147, no. 3, pp. 180–187, 2000.
  • [9] , “An analytical model of performance evaluation of SDMA based mobile cellular network for limited user traffic case”, Jahangirnagar Univ. J. Sci., vol. 27, pp. 134–143, 2004.
  • [10] , “An analytical model of low dense network traffic for LEO mobile satellite systems”, J. Electron. Comput. Sci., vol. 5, pp. 31–44, 2004.
  • [11] B. Li, L. Li, B. Li, K. M. Sivalingam, and X.-R. Cao, “Call admission control for voice/data integrated cellular networks: performance analysis and comparative study”, IEEE J. Selec. Areas Commun., vol. 22, no. 4, pp. 706–718, 2004.
  • [12] M. Mahdavi, R. M. Edwards, and S. R. Cvetkovic, “Policy for enhancement of traffic in TDMA hybrid switched integrated voice/data cellular mobile communications systems”, IEEE Commun. Lett., vol. 5, no. 6, pp. 242–244, 2001.
  • [13] Q. Hung, S. Chan, K.-T. Ko, and M. Zukerman, “An enhanced hand- off control scheme for multimedia traffic in cellular networks”, IEEE Commun. Lett., vol. 8, no. 3, pp. 195–197, 2004.
  • [14] T. Veerarajan, Probability, Statistics and Random Process. New Delhi: Tata McGraw-Hill, 2003.
  • [15] S. M. Ross, Introduction to Probability Models. San Diego: Academic Press, 2001.
  • [16] R. Ramjee, R. Nagarajan, and D. Towsley, “On optimal call admission control in cellular networks”, Wirel. Netw. J., vol. 3, no. 1, pp. 29–41, 1997.
  • [17] Y. Fang, “Thinning scheme for call admission control in wireless networks”, IEEE Trans. Comput., vol. 52, no. 5, pp. 685–687, 2003.
  • [18] , “Analysis of two dimensional limited source and mixed traffic model for a BTS of small mobile cellular network”, in Proc. 4th Int. Conf. Comput. Inform. Technol. ICCIT, Dhaka, Bangladesh, 2001, pp. 190–196.
  • [19] G. M. Galvan-Tejada and J. G. Gardiner, “Theoretical model to determine the blocking probability for SDMA systems”, IEEE Trans.Veh. Technol., vol. 50, no. 5, pp. 1279–1288, 2001.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT8-0008-0017
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