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Background Noise Influence on VoIP Traffic Profile

  • Rafael Estepa
  • Juan Vozmediano
  • Antonio Estepa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3311)

Abstract

Modern audio codecs used in VoIP can improve the listening quality by transmitting the main characteristics of the background noise signal during the silence periods. This traffic has been traditionally neglected in the codec mean bit-rate estimation. Nevertheless, when considering an IP environment, the packet overhead increases significantly the required mean transmission bit-rate. Hence, the transmission of the background noise signal can result into either a poor network resource dimensioning in network planning or in the violation of the SLA traffic specifications in a DiffServ scenario.

This paper presents a study on the influence of the background noise signal in the mean transmission bit rate required by conversations in IP networks. A new traffic pattern generation model is presented, for which an analytical expression for the mean bit rate is derived. This model is parametrized for the G.729B and the GSM AMR codecs. Experimental results show that this new model significantly enhances the current mean bit rate estimation. The traffic profile of aggregated audio traffic is also addressed, obtaining results which improve the current ON-OFF aggregated traffic models.

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References

  1. 1.
    Estepa, A., Estepa, R., Vozmediano, J.: Paquetization and Silence Influence on VoIP traffic profile. In: Ventre, G., Canonico, R. (eds.) MIPS 2003. LNCS, vol. 2899, pp. 331–339. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  2. 2.
    Benyassine, A., Shlomot, E., Su, H.-Y., Massaloux, D., Lamblin, C., Petit, J.-P.: ITU-T Recommendation G.729 Annex B: a silence compression scheme for use with G.729 optimized for V.70 digital simultaneous voice and data applications. IEEE Communications Magazine 35(9) (September 1997)Google Scholar
  3. 3.
    Goode, B.: Voice over Internet protocol (VoIP). Proceedings of the IEEE 90(9) (September 2002)Google Scholar
  4. 4.
    Sriram, K., Whitt, W.: Characterizing superposition arrival processes in packet multiplexers for voice and data. IEEE JSAC SAC-4(6), 833–846 (1986)Google Scholar
  5. 5.
    Bellalta, B., Oliver, M., Rincon, D.: Performance of the GPRS RLC/MAC protocols with VoIP traffic. In: IEEE international symposium on Personal Indoor and Mobile Radio Communications, vol. 1, pp. 15–18 (September 2002)Google Scholar
  6. 6.
    Guerin, R., Ahmadi, H., Naghshineh, M.: Equivalent capacity and its application to bandwidth allocation in high-speed networks. IEEE JSAC 9(7), 968–981 (1991)Google Scholar
  7. 7.
    Anick, D., Mitra, D., Shondi, M.: Stochastic theory of data-handling system with multiple sources. Bell Sys. Tech. Journal 61(8), 1871–1894 (1982)Google Scholar
  8. 8.
    Daigle, J., Langford, J.: Models for Analysis of Packet Voice Communications Systems. IEEE Journal on Selected Areas in Communications SAC-4(6) (September 1986)Google Scholar
  9. 9.
    Baiocchi, A., Melazzi, N.B., Listante, M., Roveri, A., Winkler, R.: Loss performance Analysis of an ATM Multiplexer Loaded with High-Speed ON-OFF Sources. IEEE Journal on Selected Areas in Communications 9, 388–393 (1991)CrossRefGoogle Scholar
  10. 10.
    Mitra, D.: Stochastic theory of produced and consumers coupled by a buffer. Adv. Appl. Prob 20, 646–676 (1988)zbMATHCrossRefGoogle Scholar
  11. 11.
    Pitts, J., Schormans, J.: Introduction to IP and ATM design and Performance, 2nd edn. Ed. John Wiley & sons, Chichester (2000)Google Scholar
  12. 12.
    Qian, K., McDonald, D.: An approximation method for complete solutions of Markov modulated Fluid Models. Queueing Systems 30, 365–384 (1988)MathSciNetGoogle Scholar
  13. 13.
    Jiang, W., Schulzrinne, H.: Analysis of On-Off patterns in VoIP and their effect on Voice Traffic Aggregation. In: The 9th IEEE International Conference on Computer Communication Networks (2000)Google Scholar
  14. 14.
    Estepa, A., Estepa, R., Vozmediano, J.: A new approach for VoIP traffic characterization. IEEE Communication Letters (accepted) (publication pending)Google Scholar
  15. 15.
    Vozmediano, J.: AitSim: Discrete-event based network simulator, http://trajano.us.es/clases/lsim/aitsim

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Rafael Estepa
    • 1
  • Juan Vozmediano
    • 1
  • Antonio Estepa
    • 1
  1. 1.Área de Ingeniería TelemáticaUniversidad de SevillaSevilla

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