• DocumentCode
    2047141
  • Title

    Modeling multimedia traffic in IMS network using MMPP

  • Author

    Ghandali, Sepideh ; Safavi, S. Mostafa

  • Author_Institution
    Electr. Eng. Dept., Amirkabir Univ. of Technol., Tehran, Iran
  • Volume
    6
  • fYear
    2011
  • fDate
    8-10 April 2011
  • Firstpage
    281
  • Lastpage
    286
  • Abstract
    The IP Multimedia Subsystem (IMS) defined by the 3rd Generation Partnership Project (3GPP) and 3GPP2 [1], provides a platform for the provision of multimedia services with satisfactory quality of service (QoS). QoS is one of the main reasons for the emergence of IMS. Thus, we believe that performance evaluation of IMS-based networks is essential. We propose here traffic modeling and queuing analysis in order to provide a way to select IMS network design parameters, such that performance will be satisfied. In this paper we model multimedia traffic in IMS network with Markov Modulated Poisson Process (MMPP) by using LAMBDA algorithm for fitting MMPP to media traffic and make conclusion on its efficiency. We improve the results by changing the number of MMPP states and make the fitting process more accurate. According to simulations that we carried out using OPNET and MATLAB, our propose model is acceptable.
  • Keywords
    IP networks; Markov processes; multimedia communication; telecommunication traffic; 3GPP; IMS network; IP multimedia subsystem; MMPP; Markov modulated Poisson process; multimedia services; multimedia traffic; Delay; Fitting; IP networks; Markov processes; Mathematical model; Multimedia communication; Quality of service; Hurst Parameter; IP Multimedia Subsystem; Markov Modulated Poisson Process; Traffic Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics Computer Technology (ICECT), 2011 3rd International Conference on
  • Conference_Location
    Kanyakumari
  • Print_ISBN
    978-1-4244-8678-6
  • Electronic_ISBN
    978-1-4244-8679-3
  • Type

    conf

  • DOI
    10.1109/ICECTECH.2011.5942099
  • Filename
    5942099