Skip to main content

Practical Considerations in Trunk Engineering for Cellular Service

  • Conference paper
Information Networking. Networking Technologies for Broadband and Mobile Networks (ICOIN 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3090))

Included in the following conference series:

  • 403 Accesses

Abstract

We identify and address practical problems facing the engineers who are responsible for trunk engineering(determining optimal trunk requirements between switching systems in a telecommunications network) in a nation-wide cellular service. Currently, Erlang B formula is used to calculate the number of trunks to carry the estimated cellular traffic with given target grade of service(i. e. call block rate). However, our recent measurement at a nation-wide cellular service covering more than 15 million customers shows that the measured block rate is occasionally far greater than the expected block rate, as much as 8 times. Fearing this, it is a common practice for field engineers to assign far more trunks than dictated by the Erlang B formula. But the main problem is that there is no basis on how to assign more trunks. In this paper, we track the cause for excessive block rate by analyzing vast amount of call log to identify the characteristic of the recent cellular traffic. We introduce a simple but effective compensation method to adjust the Erlang B formula with random and non-random traffic. The second problem we address is that the Erlang B formula gives average block rate while the management of the cellular service demands the engineers to guarantee given upper limit to the block rate. We employ the concept of the confidence interval to guarantee given block rate with certain reliability. We develop a simulation program to derive an updated version of Erlang B table with the confidence interval and a simple heuristic method to compensate for the peakedness of contemporary cellular traffic.

This work was supported in part by Sogang University Research Fund 2003 and uT frontier project.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. SK Telecom, Annual Report 2001 (2001), http://www.sktelecom.co.kr/english/index.html

  2. Boucher, J.R.: Traffic System Design Handbook: Timesaving Telecommunication Traffic Tables and Programs, pp. 1–78. IEEE Press, Los Alamitos (1993)

    Google Scholar 

  3. Akimaru, H., Kawashima, K.: Teletraffic- Theory and Applications, 2nd edn., January 1993, pp. 3–55. Springer, Heidelberg (1993)

    Google Scholar 

  4. Iversen, V.B.: Teletraffic Engineering Handbook, ITU-D SG 2/16 & ITC, 2002-09-06

    Google Scholar 

  5. Cahn, R.S.: Wide Area Network Design - Concepts and Tools for Optimization, pp. 11–142. Morgan Kaufman Publishers, Inc., San Francisco (1998)

    Google Scholar 

  6. Lam, D., Cox, D.C., Widom, J.: Teletraffic Modeling for Personal Communications Services. IEEE Communications Magazine, 79–87 (February 1997)

    Google Scholar 

  7. Molnar, S., Miklos, G.: Peakedness Characterization in Teletraffic. In: IFIP TC6, WG6.3 conference Performance of Information and Communications Systems, PICS 1998, Lund, Sweden, May 25-28 (1998)

    Google Scholar 

  8. Parkinson, R.: Traffic Engineering Techniques in Telecommunications, INFOTEL SYSTEMS CORP, http://www.infotel-systems.com

  9. Everitt, D.: Traffic capacity of cellular mobile communications systems. Computer Networks and ISDN Systems 20, 447–454 (1990)

    Article  Google Scholar 

  10. Barcelo, F., Jordan, J.: Channel holding time distribution in cellular telephony. In: The 9th International Conference on Wireless Communications (Wireless 1997), Alberta,Canada, July 9-11, vol. 1, pp. 125–134 (1997)

    Google Scholar 

  11. Fang, Y., Chlamtac, I.: Teletraffic Analysis and Mobility Modeling of PCS Networks. IEEE, Los Alamitos (1999)

    Google Scholar 

  12. Wilkinson, R.I.: Theories for Toll Traffic Engineering in the U.S.A. Bell System Technical Journal 35, 421–513 (1956)

    MathSciNet  Google Scholar 

  13. Frost, V.S., Melamed, B.: Traffic Modeling For Telecommunications Networks. IEEE Communications Magazine, 70–81 (March 1994)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lee, K.G., Park, J., Kim, H.S., Jang, J. (2004). Practical Considerations in Trunk Engineering for Cellular Service. In: Kahng, HK., Goto, S. (eds) Information Networking. Networking Technologies for Broadband and Mobile Networks. ICOIN 2004. Lecture Notes in Computer Science, vol 3090. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25978-7_55

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-25978-7_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23034-2

  • Online ISBN: 978-3-540-25978-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics