Open Access

Modeling of Call Dropping in Well-Established Cellular Networks

EURASIP Journal on Wireless Communications and Networking20072007:017826

https://doi.org/10.1155/2007/17826

Received: 8 January 2007

Accepted: 11 October 2007

Published: 10 December 2007

Abstract

The increasing offer of advanced services in cellular networks forces operators to provide stringent QoS guarantees. This objective can be achieved by applying several optimization procedures. One of the most important indexes for QoS monitoring is the drop-call probability that, till now, has not deeply studied in the context of a well-established cellular network. To bridge this gap, starting from an accurate statistical analysis of real data, in this paper an original analytical model of the call dropping phenomenon has been developed. Data analysis confirms that models already available in literature, considering handover failure as the main call dropping cause, give a minor contribution for service optimization in established networks. In fact, many other phenomena become more relevant in influencing the call dropping. The proposed model relates the drop-call probability with traffic parameters. Its effectiveness has been validated by experimental measures. Moreover, results show how each traffic parameter affects system performance.

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Authors’ Affiliations

(1)
Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari

References

  1. Hong D, Rappaport S: Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedures. IEEE Transactions on Vehicular Technology 1986,35(3):77-92.View ArticleGoogle Scholar
  2. Orlik PV, Rappaport SS: A model for teletraffic performance and channel holding time characterization in wireless cellular communication with general session and dwell time distributions. IEEE Journal on Selected Areas in Communications 1998,16(5):788-803. 10.1109/49.700913View ArticleGoogle Scholar
  3. Zeng H, Fang Y, Chlamtac I: Call blocking performance study for PCS networks under more realistic mobility assumptions. Telecommunication Systems 2002,19(2):125-146. 10.1023/A:1013330625017View ArticleGoogle Scholar
  4. Fang Y, Chlamtac I, Lin Y-B: Call performance for a PCS network. IEEE Journal on Selected Areas in Communications 1997,15(8):1568-1581. 10.1109/49.634795View ArticleGoogle Scholar
  5. Fang Y, Chlamtac I, Lin Y-B: Modeling PCS networks under general call holding time and cell residence time distributions. IEEE/ACM Transactions on Networking 1997,5(6):893-906. 10.1109/90.650148View ArticleGoogle Scholar
  6. Fang Y, Chlamtac I: Teletraffic analysis and mobility modeling of PCS networks. IEEE Transactions on Communications 1999,47(7):1062-1072.View ArticleGoogle Scholar
  7. Rajaratnam M, Takawira F: Nonclassical traffic modeling and performance analysis of cellular mobile networks with and without channel reservation. IEEE Transactions on Vehicular Technology 2000,49(3):817-834. 10.1109/25.845101View ArticleGoogle Scholar
  8. Rajaratnam M, Takawira F: Handoff traffic characterization in cellular networks under nonclassical arrivals and service time distributions. IEEE Transactions on Vehicular Technology 2001,50(4):954-970. 10.1109/25.938572View ArticleGoogle Scholar
  9. Iraqi Y, Boutaba R: Handoff and call dropping probabilities in wireless cellular networks. Proceedings of International Conference on Wireless Networks, Communications and Mobile Computing (WIRELESSCOM '05), June 2005, Maui, Hawaii, USA 1: 209-213.Google Scholar
  10. Chao X, Li W: Performance analysis of a cellular network with multiple classes of calls. IEEE Transactions on Communications 2005,53(9):1542-1550. 10.1109/TCOMM.2005.855011View ArticleGoogle Scholar
  11. Nasser N: Enhanced blocking probability in adaptive multimedia wireless networks. Proceedings of the 25th IEEE International Performance, Computing, and Communications Conference (IPCCC '06), April 2006, New Orleans, La, USA 2006: 647-652.View ArticleGoogle Scholar
  12. Boggia G, Camarda P, Di Fonzo N: Teletraffic analysis of hierarchical cellular communication networks. IEEE Transactions on Vehicular Technology 2003,52(4):931-946. 10.1109/TVT.2003.808804View ArticleGoogle Scholar
  13. Papoulis A: Probability, Random Variables and Stochastic Processes. 3rd edition. McGraw-Hill, New York, NY, USA; 1991.MATHGoogle Scholar
  14. Bregni S, Cioffi R, Decina M: WLC09-1: an empirical study on statistical properties of GSM telephone call arrivals. Proceedings of IEEE Global Telecommunications Conference (GLOBECOM '06), November-December 2006, San Francisco, Calif, USA 1-5.Google Scholar
  15. Pattavina A, Parini A: Modelling voice call interarrival and holding time distributions in mobile network. Proceedings of the 19th International Teletraffic Congress (ITC '05), August 2005, Beijing, ChinaGoogle Scholar
  16. Bendat JS, Piersol AG: Random Data, Analysis and Measurement Procedures. 2nd edition. John Wiley & Sons, New York, NY, USA; 1986.MATHGoogle Scholar
  17. Jedrzycki C, Leung VM: Probability distribution of channel holding time in cellular telephony systems. Proceedings of IEEE 46th Vehicular Technology Conference (VTC '96), May 1996, Atlanta, Ga, USA 1: 247-251.View ArticleGoogle Scholar
  18. Chambers JM, Cleveland WS, Kleiner B, Tukey PA: Graphical Methods for Data Analysis. Chapman & Hall, Boston, Mass, USA; 1983.MATHGoogle Scholar
  19. Kreyszig E: Advanced Engineering Mathematics. 6th edition. John Wiley & Sons, New York, NY, USA; 1987.MATHGoogle Scholar
  20. Coleman TF, Li Y: On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds. Mathematical Programming 1994,67(1–3):189-224.MathSciNetView ArticleMATHGoogle Scholar
  21. Coleman TF, Li Y: An interior trust region approach for nonlinear minimization subject to bounds. SIAM Journal on Optimization 1996,6(2):418-445. 10.1137/0806023MathSciNetView ArticleMATHGoogle Scholar
  22. Kleinrock L: Queuing Systems: Computer Applications. Volume 2. John Wiley & Sons, New York, NY, USA; 1985.Google Scholar
  23. Khan F, Zeghlache D: Effect of cell residence time distribution on the performance of cellular mobile networks. Proceedings of the IEEE 47th Vehicular Technology Conference (VTC '97), May 1997, Phoenix, Ariz, USA 2: 949-953.Google Scholar

Copyright

© Gennaro Boggia et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.