• DocumentCode
    3187144
  • Title

    Delay analysis of small IP packets in GPRS RLC layer

  • Author

    Mohammed Manaz, M.A. ; Liyanage, K.M.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Peradeniya, Peradeniya, Sri Lanka
  • fYear
    2013
  • fDate
    17-20 Dec. 2013
  • Firstpage
    489
  • Lastpage
    494
  • Abstract
    Though GPRS is no longer used in typical multimedia applications, they are being extensively utilized in remote monitoring and control application due to their high reliability and relatively low cost. However the delay characteristics of lower layers of GPRS system play major role in its overall performance. In literature it is proved through Simulations that the shape of the delay distribution of small IP packets significantly differs from that of the, generally studied, large IP packets. This difference is mainly attributed to the Backward Error Correction (BEC) protocol employed in Radio Link Control (RLC) layer. In this paper we present a statistical analysis of these delay characteristics using discrete time Markov chain based analysis. The results show that the shape of delay distribution depends not only on the packet size but also on channel quality.
  • Keywords
    IP networks; Markov processes; cellular radio; delays; error correction codes; packet radio networks; radio links; statistical analysis; GPRS RLC layer; GPRS system; IP packets; backward error correction protocol; channel quality; control application; delay analysis; delay characteristics; delay distribution; discrete time Markov chain based analysis; multimedia applications; packet size; radio link control layer; reliability; remote monitoring; statistical analysis; Delays; GSM; Ground penetrating radar; IP networks; Markov processes; Protocols; Shape; GPRS; RLC Delay; SR-ARQ; Small packet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (ICIIS), 2013 8th IEEE International Conference on
  • Conference_Location
    Peradeniya
  • Print_ISBN
    978-1-4799-0908-7
  • Type

    conf

  • DOI
    10.1109/ICIInfS.2013.6732033
  • Filename
    6732033