• DocumentCode
    3057073
  • Title

    Queueing analysis of go-back-N ARQ protocol in multi-rate wireless networks with feedback delay

  • Author

    Le, Long B. ; Hossain, Ekram

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man.
  • Volume
    6
  • fYear
    2005
  • fDate
    2-2 Dec. 2005
  • Lastpage
    3711
  • Abstract
    We analyze the queueing performance of the go-back-N ARQ (GBN-ARQ) protocol in multi-rate wireless networks considering feedback delay. Multi-rate transmission is captured by a finite state Markov channel (FSMC) model for a slow Nakagami-m fading channel. The queueing problem is formulated as a G1/M/1 Markov chain where the exact queue length and delay statistics for the GBN-ARQ protocol can be obtained. We validate our analysis by simulations. The impacts of the system and channel parameters on the system performance are then investigated. The optimal partitioning of the signal to noise ratio (SNR) for different transmission modes are obtained so that the delay is minimized. The delay statistics obtained in this paper enables us to design wireless systems under statistical delay constraints and would be useful to predict the higher-layer protocol performance
  • Keywords
    Markov processes; Nakagami channels; automatic repeat request; feedback; protocols; queueing theory; radio networks; Markov chain; Nakagami-m fading channel; channel parameters; delay statistics; feedback delay; finite state Markov channel; go-back-N ARQ protocols; multirate wireless networks; queueing analysis; signal to noise ratio; Automatic repeat request; Delay; Fading; Feedback; Performance analysis; Queueing analysis; Signal to noise ratio; Statistics; Wireless application protocol; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    0-7803-9414-3
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2005.1578463
  • Filename
    1578463