Performance analysis for data service in third generation mobile telecommunication networks

Silva, Aloizio P.; Mateus, Geraldo R.

doi:10.1590/S0104-65002003000100003

Abstract

The data traffic in wireless networks for the third generation (3G) mobile telecommunication systems should take into account a variety of services (voice, data, video) and environments (e.g.: private, outdoors, indoors) as well as the user mobility behavior. A good evaluation of measures of performance can help a system designer to make its strategic decisions concerning cell size and the number of channel frequencies allocated to each cell. In this paper we present an analysis of data services in a third generation mobile telecommunication networks based on simulation. In addition, we illustrate the need for a simulation in order to characterize the mix of several traffic types for capacity and quality of service (QoS) planning. We use the distributions heavy tailed Weibull and Pareto to simulate respectively, the data traffic and the resource occupation time for data service. Finally, we also comment some simulation results of third generation services where we analyze the QoS parameters of a mobile network, such as channel occupation time, handoff, new call blocking probabilities and traffic in Erlangs.

Mobile Networks; Data Services; Third Generation; Quality of Service

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ARTICLES

Performance analysis for data service in third generation mobile telecommunication networks

Aloizio P. Silva; Geraldo R. Mateus

Federal University of Minas Gerais Department of Computer Science, Av. Antônio Carlos, 66-31270-010 - Pampulha - BH - MG - Brazil {aloizio, mateus}@dcc.ufmg.br

ABSTRACT

The data traffic in wireless networks for the third generation (3G) mobile telecommunication systems should take into account a variety of services (voice, data, video) and environments (e.g.: private, outdoors, indoors) as well as the user mobility behavior. A good evaluation of measures of performance can help a system designer to make its strategic decisions concerning cell size and the number of channel frequencies allocated to each cell. In this paper we present an analysis of data services in a third generation mobile telecommunication networks based on simulation. In addition, we illustrate the need for a simulation in order to characterize the mix of several traffic types for capacity and quality of service (QoS) planning. We use the distributions heavy tailed Weibull and Pareto to simulate respectively, the data traffic and the resource occupation time for data service. Finally, we also comment some simulation results of third generation services where we analyze the QoS parameters of a mobile network, such as channel occupation time, handoff, new call blocking probabilities and traffic in Erlangs.

Keywords: Mobile Networks, Data Services, Third Generation, Quality of Service

[28] S. I. Resnick. Heavy tail modeling in teletraffic data. In Ann. Statist., number 25, pages 1805-1848. 1997.

[1] G. Abdula and et al. Shared user behaivor on the word wide web. http://www.cs.vt.edu/chi-tra/docs/97webnet, 1997.
[2] S. Agmon. The relaxation method for linear inequalities. In Can. J. Math, volume 6, pages 382-392.1954.
[3] S. Asmussen, C. Kluppelberg, and K. Sigman. Sampling at subexponential times, with queueing applications, 1999. Stoch. Proc. Appl.
[4] A. Bar-Noy and L. Kessler. Tracking mobile users in wireless networks. In IEEE Trans. On Information Theory, volume 39, pages 1877-1886, November 1993.
[5] J. Beran, R. Sherman, M. S. Taqqu, and W. Will-inger. Long-range dependence in variable-bit-rate traffic. IEEE Transactions on Communications, 1995.
[6] L. M. Breg. Finding the common point of convex sets by the method of sucessive projections. In Dokl. Akad. Mousk SSSR, pages 487-90.1965.
[7] M. E. Crovella and A. Bestavros. Self-similarity in world wide web traffic: Evidence and possible causes. In Proceedings of SIGMETRICS Conference on Measurement and Modeling of Computer Systems, 1996.
[8] D. E. Duffy, A. A. McIntosh, M. Rosenstein, and W. Willinger. Statistical analysis of CCSN/SS7 traffic data from working subnetworks. IEEE J. Select Areas Commun, 1(3):544-551,1994.
[9] I. I. Eremin. Generalization of the Motzkin-Agmon relaxational method. In Usp Math. Monk 20, pages 182-187.1965.
[10] A. Erramilli, O. Narayan, and W. Willinger. Experimental queueing, analysis with long-range dependent pocket traffic. IEEE/ACM Trans. Networking, 4(2), 1996.
[11] M. Greiner, M. Jobmann, and C. Kluppelberg. Telecommunication traffic, queueing models, and subexponential distributions. Advances in Computacional Mathematics, 1999. Departament of Computer Science, Munich University of Technology.
[12] M. Greiner, M. Jobmann, and L. Lipsky. The importance of power-tail distributions for telecommunications traffic models. Technical report, Institute fur In-formatik, Technische Universitat Munchen, 1995.
[13] R. Guri. Channel occupancy time distribution in a cellular radio system. In IEEE transactions on Vehicular Technology, volume 36, pages 89-99. August 1987.
[14] D. Hong and S. S. Rappaport. Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedure. In IEEE transactions on Vehicular Technology, volume 35, pages 77-92. August 1986.
[15] D. Hong and S. S. Rappaport. Traffic model and performance analysis for celular mobile radio telephone systems with prioritized and nonprioritizied handoff procedures. In IEEE Transaction on Vehicular Technology, volume 35, pages 77-92, August 1986.
[16] B. Jabbari. Teletraffic aspects of evolving and next generation wireless communication networks. In IEEE Transactions on Vehicular Technology, volume 3, pages 4-9. December 1996.
[17] R.Jain. The Art of Computer Systems Performance analysis, techniques for Experimental Design, Measurement, Simulation, and Modeling. John Wiley & Sons, INC, 1991.
[18] M. Jiang, M. Nikolic, S. Hardy, and L. Trajkovic. Impact of self-similarity on wireless data network performance. In IEEE International Conference on Communications, June 2001.
[19] T. Kunz, T. Barry, J. P. Black, and H. M. Mahoney. WAP traffic: Description and comparison to WWW traffic. In 3rd ACM International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems, August 2000.
[20] W E. Leland, M. S. Taqqu, W. Willinger, and D. V. Wilson. On the self-similar nature of ethernet traffic. ACM Sigcomm Computer Communications Review, 23:183-193,1993.
[21] W. E. Leland, M. S. Taqqu, W. Willinger, and D. V. Wilson. On the self-similar nature of ethernet (extended version). IEEE/ACM transactions on Networking, 2(1):1-15, February 1994.
[22] J. G. Markoulidakis, G. L. Lyberopoulos, and M. E. Anagnostou. Traffic model for third generation cellular mobile telecommunication systems. In Wireless Networks, pages 389-00. 1998.
[23] M. Middendorf. Manhattan channel routing is NP-complete under truly restricted settings. Chigago Journal of Theorical Computer Science, 2:1-19, 1996.
[24] T. S. Motskin and I. I. Schoenberg. The relation method for linear inequalities. In Can. J. Math, volume 6, pages 393-04.1954.
[25] R. Pandya, D. Grillo, and P. Mieybegue. IMT-2000 standards: Network aspects. In IEEE Personal Communications, pages 20-29. August 1997.
[26] P. Ramakrishnan. Self-similar traffic model. Technical Report CSHCN T.R.99-5 (ISR T.R. 99-12), Center for Satellite and Hybrid Communication Networks, 1997. www.isr.umd.edu/CSHCN/.
[27] J. Rapeli. UMTS: Targets, system concept, and standardisation in a global framework. In IEEE communications, pages 20-28, February 1995.
[28] S. I. Resnick. Heavy tail modeling in teletraffic data. In Ann. Statist., number 25, pages 1805-1848. 1997.
[29] M. N. Rocha, G. R. Mateus, and S. L. Silva. A comparison between location updates and location area paging for mobile unit tracking simulation in wireless communication systems. In The 3rd Int. Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications (DialM-99), pages 72-77, Seattle, WA, August 1999.
[30] M. N. Rocha, G. R. Mateus, and S. L. Silva. Simulation of mobile unit tracking simulation in wireless communication systems. In Wireless Personal Multimedia Communications (WPMC'99) Conference, Amsterdam, The Netherlands, September 1999.
[31] M. N. Rocha, G. R. Mateus, and S. L. Silva. Traffic simulation and the location of mobile units in wireless communication systems. In 17th Brazilian Computer Networks Symposium, pages 405-17, May 1999.
[32] A. Samnkic. UMTS universal mobile telecommunications system: Development of standard for the third generation communications. In IEEE Transactions on Veicular Technology, volume 47, pages 1099-1104. November 1998.
[33] M. Sidi and D. Starobinski. New call blocking versus handoff blocking in cellular networks. In Wireless Networks, volume 3, page 1 27. February 1997.
[34] A. P. Silva and G. R. Mateus. Performance analysis for data service in third generation mobile telecommunication networks. In Advanced Simulation Technologies Conference 2002 - 36th Annual Simulation Symposium, pages 227-235. IEEE and Computer Society, April 2002.
[35] X. Zhou. Cellular data traffic: Analysis, models, and scenarios. Master's thesis, Ottawa-Carleton Institute for Computer Science, Carleton University, June 2000.

Publication Dates

Publication in this collection
14 Sept 2004
Date of issue
Apr 2003

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

[1] [1] G. Abdula and et al. Shared user behaivor on the word wide web. http://www.cs.vt.edu/chi-tra/docs/97webnet, 1997.

[2] [2] S. Agmon. The relaxation method for linear inequalities. In Can. J. Math, volume 6, pages 382-392.1954.

[3] [3] S. Asmussen, C. Kluppelberg, and K. Sigman. Sampling at subexponential times, with queueing applications, 1999. Stoch. Proc. Appl.

[4] [4] A. Bar-Noy and L. Kessler. Tracking mobile users in wireless networks. In IEEE Trans. On Information Theory, volume 39, pages 1877-1886, November 1993.

[5] [5] J. Beran, R. Sherman, M. S. Taqqu, and W. Will-inger. Long-range dependence in variable-bit-rate traffic. IEEE Transactions on Communications, 1995.

[6] [6] L. M. Breg. Finding the common point of convex sets by the method of sucessive projections. In Dokl. Akad. Mousk SSSR, pages 487-90.1965.

[7] [7] M. E. Crovella and A. Bestavros. Self-similarity in world wide web traffic: Evidence and possible causes. In Proceedings of SIGMETRICS Conference on Measurement and Modeling of Computer Systems, 1996.

[8] [8] D. E. Duffy, A. A. McIntosh, M. Rosenstein, and W. Willinger. Statistical analysis of CCSN/SS7 traffic data from working subnetworks. IEEE J. Select Areas Commun, 1(3):544-551,1994.

[9] [9] I. I. Eremin. Generalization of the Motzkin-Agmon relaxational method. In Usp Math. Monk 20, pages 182-187.1965.

[10] [10] A. Erramilli, O. Narayan, and W. Willinger. Experimental queueing, analysis with long-range dependent pocket traffic. IEEE/ACM Trans. Networking, 4(2), 1996.

[11] [11] M. Greiner, M. Jobmann, and C. Kluppelberg. Telecommunication traffic, queueing models, and subexponential distributions. Advances in Computacional Mathematics, 1999. Departament of Computer Science, Munich University of Technology.

[12] [12] M. Greiner, M. Jobmann, and L. Lipsky. The importance of power-tail distributions for telecommunications traffic models. Technical report, Institute fur In-formatik, Technische Universitat Munchen, 1995.

[13] [13] R. Guri. Channel occupancy time distribution in a cellular radio system. In IEEE transactions on Vehicular Technology, volume 36, pages 89-99. August 1987.

[14] [14] D. Hong and S. S. Rappaport. Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedure. In IEEE transactions on Vehicular Technology, volume 35, pages 77-92. August 1986.

[15] [15] D. Hong and S. S. Rappaport. Traffic model and performance analysis for celular mobile radio telephone systems with prioritized and nonprioritizied handoff procedures. In IEEE Transaction on Vehicular Technology, volume 35, pages 77-92, August 1986.

[16] [16] B. Jabbari. Teletraffic aspects of evolving and next generation wireless communication networks. In IEEE Transactions on Vehicular Technology, volume 3, pages 4-9. December 1996.

[17] [17] R.Jain. The Art of Computer Systems Performance analysis, techniques for Experimental Design, Measurement, Simulation, and Modeling. John Wiley & Sons, INC, 1991.

[18] [18] M. Jiang, M. Nikolic, S. Hardy, and L. Trajkovic. Impact of self-similarity on wireless data network performance. In IEEE International Conference on Communications, June 2001.

[19] [19] T. Kunz, T. Barry, J. P. Black, and H. M. Mahoney. WAP traffic: Description and comparison to WWW traffic. In 3rd ACM International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems, August 2000.

[20] [20] W E. Leland, M. S. Taqqu, W. Willinger, and D. V. Wilson. On the self-similar nature of ethernet traffic. ACM Sigcomm Computer Communications Review, 23:183-193,1993.

[21] [21] W. E. Leland, M. S. Taqqu, W. Willinger, and D. V. Wilson. On the self-similar nature of ethernet (extended version). IEEE/ACM transactions on Networking, 2(1):1-15, February 1994.

[22] [22] J. G. Markoulidakis, G. L. Lyberopoulos, and M. E. Anagnostou. Traffic model for third generation cellular mobile telecommunication systems. In Wireless Networks, pages 389-00. 1998.

[23] [23] M. Middendorf. Manhattan channel routing is NP-complete under truly restricted settings. Chigago Journal of Theorical Computer Science, 2:1-19, 1996.

[24] [24] T. S. Motskin and I. I. Schoenberg. The relation method for linear inequalities. In Can. J. Math, volume 6, pages 393-04.1954.

[25] [25] R. Pandya, D. Grillo, and P. Mieybegue. IMT-2000 standards: Network aspects. In IEEE Personal Communications, pages 20-29. August 1997.

[26] [26] P. Ramakrishnan. Self-similar traffic model. Technical Report CSHCN T.R.99-5 (ISR T.R. 99-12), Center for Satellite and Hybrid Communication Networks, 1997. www.isr.umd.edu/CSHCN/.

[27] [27] J. Rapeli. UMTS: Targets, system concept, and standardisation in a global framework. In IEEE communications, pages 20-28, February 1995.

[28] [28] S. I. Resnick. Heavy tail modeling in teletraffic data. In Ann. Statist., number 25, pages 1805-1848. 1997.

[29] [29] M. N. Rocha, G. R. Mateus, and S. L. Silva. A comparison between location updates and location area paging for mobile unit tracking simulation in wireless communication systems. In The 3rd Int. Workshop on Discrete Algorithms and Methods for Mobile Computing and Communications (DialM-99), pages 72-77, Seattle, WA, August 1999.

[30] [30] M. N. Rocha, G. R. Mateus, and S. L. Silva. Simulation of mobile unit tracking simulation in wireless communication systems. In Wireless Personal Multimedia Communications (WPMC'99) Conference, Amsterdam, The Netherlands, September 1999.

[31] [31] M. N. Rocha, G. R. Mateus, and S. L. Silva. Traffic simulation and the location of mobile units in wireless communication systems. In 17th Brazilian Computer Networks Symposium, pages 405-17, May 1999.

[32] [32] A. Samnkic. UMTS universal mobile telecommunications system: Development of standard for the third generation communications. In IEEE Transactions on Veicular Technology, volume 47, pages 1099-1104. November 1998.

[33] [33] M. Sidi and D. Starobinski. New call blocking versus handoff blocking in cellular networks. In Wireless Networks, volume 3, page 1 27. February 1997.

[34] [34] A. P. Silva and G. R. Mateus. Performance analysis for data service in third generation mobile telecommunication networks. In Advanced Simulation Technologies Conference 2002 - 36th Annual Simulation Symposium, pages 227-235. IEEE and Computer Society, April 2002.

[35] [35] X. Zhou. Cellular data traffic: Analysis, models, and scenarios. Master's thesis, Ottawa-Carleton Institute for Computer Science, Carleton University, June 2000.

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Performance analysis for data service in third generation mobile telecommunication networks

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