PERFORMANCE EVALUATION OF 3G CORE NETWORK NODES

Andrey Krendzel, Jarmo Harju, Sergey Lopatin

Abstract

Wireless network planning is a very complex process, the result of which influences on the success of network operators. A poorly planned network cannot achieve the required Quality of Service. It also involves extra costs and fewer benefits for its network operator. Actually, wireless network planning deals with a large number of different aspects. In this paper Core Network (CN) planning aspects for the third generation (3G) wireless systems are discussed. The problem of performance evaluation of 3G CN nodes for Internet Protocol Multimedia Core Network Subsystem (IM CN subsystem) is considered in details taking into account self-similarity caused by the high variability of burstiness of multiservice traffic in 3G wireless networks. The method for the problem solution is based on the use of FBM/D/1/W queueing system (FBM – Fractional Brownian Motion).

References

  1. Kaaranen H., Ahtiainen A., Laitinen L., Naghian S., Niemi V. UMTS Networks. Architecture, Mobility and Services, John Wiley & Sons, 2001.
  2. Bale M.C. Voice and Internet multimedia in UMTS networks, BT Technology Journal, Vol. 19, No.1, 2001.
  3. Y.Yamao, H. Suda, N.Umeda, N. Nakajima, “Radio access network design concept for the fourth generation mobile communication system,” Proc. VTC2000-Spring, vol. 3, pp. 2285-2289, 2000.
  4. “The UMTS 3G Market Forecasts - Post September 11, 2001,” Report # 18 from the UMTS Forum, February 2002.
  5. M. Jiang, M. Nicolic, S. Hardy, L. Trajkovic, “Impact of self-similarity on wireless data network performance,” ICC 2001, USA, June 2001.
  6. K. Park, W. Willenger, “Self-Similar network traffic and performance evaluation,” John Wiley & Sons, 2000.
  7. R. Kalden, S. Ibrahim, “Searching for self-similarity in GPRS”, Proceedings of the 5th anuual Passive & Active Measurement Workshop (PAM2004), Antibes Juan-les-Pins, France, April 19-20, 2004
  8. V. Paxson, S.Floyd, “Wide Area Traffic: the failure of Poisson Modeling,” Proceedings of ACM SIGCOMM'94, 1994.
  9. Willinger W., Taqqu M.S., Leland W.E., Wilson D.V. Self-similarity in high-speed packet traffic: analysis and modeling of Ethernet traffic measurements, Statistical Science, vol. 10, no. 1, 1995, pp. 67-85.
  10. Roberts J.B. Traffic Theory and the Internet, IEEE Communications Magazine, January 2001, pp.94-99.
  11. F. Geerts, C. Blondia, “Superposition of Markov sources and long range dependence”, The 4th International Conference on Broadband Communications (BC 7898), pp. 550-562, 1998.
  12. W. Willinger, M.S. Taqqu, R. Sherman, D.V. Wilson, “Self-similarity through high-variability: statistical analisis of Ethernet LAN traffic at the source level,” IEEE/ACM Transactions on networking, vol. 5, no. 1, pp. 71-86, February 1997.
  13. A. Adas, “Traffic Models in Broadband Networks,” IEEE Communicatios Magazine, pp. 82-89, July 1997.
  14. Norros I. A storage model with self-similar input, Queueing Systems, vol. 16, 1994, pp. 387-396.
  15. W. Willinger, D. Wilson, M. Taqqu, “Self-similar traffic modeling for high-speed networks,” ConneXions, November 1994.
  16. W. Stallings, “High speed networks. TCP/IP and ATM design principles,” Upper Saddles River, NJ: Prentice-Hall, p. 576, 1998.
  17. Norros I. On the Use of Fractional Brownian Motion in the Theory of Connectionless Networks, IEEE Journal on Selected Areas in Communications, vol. 13, ? 6, August 1995, pp. 953-962.
  18. Addie R.G., Zukerman M., Neame T.D. Broadband Traffic Modeling: Simple Solutions to Hard Problems, IEEE Communications Magazine, August 1998, pp. 88-95.
  19. Kleinrock L. Queueing Systems, volume II. Computer Applications, John Wiley & Sons, 1976
  20. Karatsas I., and Shreve S., Brownian Motion and Stochastic Calculus, 2nd ed, New York: SpringerVerlag, 1997.
  21. Papoulis A. Probability, Random Variables, and Stochastic Processes, 2nd ed., New York, McGrawHill, 1984.
  22. Kleinrock L. Queueing Systems, volume I. Theory, John Wiley & Sons, 1975.
  23. Norros I., Simonian A., Virtamo J. The Benes method - a unified approach to ATM FIFO queueing, New Telecommunication Services for Developing Networks, Proceedings of St. Petersburg International Teletraffic Seminar, St. Petersburg, 25 June-2 July, 1995, pp. 431-449.
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Paper Citation


in Harvard Style

Krendzel A., Harju J. and Lopatin S. (2005). PERFORMANCE EVALUATION OF 3G CORE NETWORK NODES . In Proceedings of the Second International Conference on e-Business and Telecommunication Networks - Volume 2: ICETE, ISBN 972-8865-33-3, pages 98-104. DOI: 10.5220/0001415600980104


in Bibtex Style

@conference{icete05,
author={Andrey Krendzel and Jarmo Harju and Sergey Lopatin},
title={PERFORMANCE EVALUATION OF 3G CORE NETWORK NODES},
booktitle={Proceedings of the Second International Conference on e-Business and Telecommunication Networks - Volume 2: ICETE,},
year={2005},
pages={98-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001415600980104},
isbn={972-8865-33-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on e-Business and Telecommunication Networks - Volume 2: ICETE,
TI - PERFORMANCE EVALUATION OF 3G CORE NETWORK NODES
SN - 972-8865-33-3
AU - Krendzel A.
AU - Harju J.
AU - Lopatin S.
PY - 2005
SP - 98
EP - 104
DO - 10.5220/0001415600980104