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Traffic Modeling and Characterization for UTRAN

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 3970))

Abstract

This paper presents an analytical approach for characterizing the aggregated traffic carried in the UMTS Terrestrial Radio Access Network (UTRAN). The characteristic of the incoming traffic stream of UTRAN is studied based on the measured trace traffic from the simulations. The main idea of the aggregated traffic modelling is to employ Batch Markov Arrival Process (BMAP) model as an analytically tractable model, which considers different lengths of packets and batch arrivals. In this paper, the setup and customization of the BMAP model for characterizing the aggregated traffic in UTRAN is presented. The accuracy of the BMAP model is demonstrated by comparing with simulations and Poisson traffic model. At the end the potential application of the presented approach and its advantages is briefly discussed.

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References

  1. 3GPP, http://www.3gpp.org

  2. Klemm, A., Lindemann, C., Lohmann, M.: Traffic Modeling and Characterization for UMTS Networks. In: Proc. of the Globecom, Internet Performance Symposium, San Antonio TX, November 2001, pp. 1741–1746 (2001)

    Google Scholar 

  3. Riska, A.: Aggregate Matrix-analytic Techniques and their Applications

    Google Scholar 

  4. Lucantoni, D.M.: New Results on the Single Server Queue with a Batch Markovian Arrival Process. Comm. in Statistics: Stochastic Models 7, 1–46 (1991)

    Article  MATH  MathSciNet  Google Scholar 

  5. Kang, S.H., Kim, Y.H., Sung, D.K., Choi, B.D.: An application of Markovian Arrival Process (MAP) to modeling superposed ATM cell streams. IEEE Trans. Commun. 50(4), 633–642 (2002)

    Article  Google Scholar 

  6. Ryden, T.: An EM Algorithm for Parameter Estimation in Markov Modulated Poisson Processes. Computational Statistics and Data Analysis 21, 431–447 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  7. Breuer, L.: An EM algorithm for Batch Markovian Arrival Processes and its comparison to a simpler estimation procedure. Annals of Operations Research 112, 123–138 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  8. Lindemann, B., Lohmann, M.: Numerical Robust Parameter Estimation for the Batch Markovian Arrival Process Using Randomization

    Google Scholar 

  9. Klemm, A., Lindemann, C., Lohmann, M.: Modeling IP Traffic Using the Batch Markovian Arrival Process (extended version). Performance Evaluation 54, 149–173 (2003)

    Article  Google Scholar 

  10. Willinger, W., Paxson, V., Taqqu, M.S.: Self-similarity and Heavy Tails: Structural Modeling of Network Traffic. In: A Practical Guide to Heavy Tails, pp. 27–53. Chapman &Hall, Boca Raton (1998)

    Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Li, X., Li, S., Görg, C., Timm-Giel, A. (2006). Traffic Modeling and Characterization for UTRAN. In: Braun, T., Carle, G., Fahmy, S., Koucheryavy, Y. (eds) Wired/Wireless Internet Communications. WWIC 2006. Lecture Notes in Computer Science, vol 3970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11750390_17

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  • DOI: https://doi.org/10.1007/11750390_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34023-2

  • Online ISBN: 978-3-540-34024-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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