• DocumentCode
    3254462
  • Title

    Analytical Model of TCP with Enhanced Recovery Mechanism for Wireless Environments

  • Author

    Jayananthan, A. ; Sirisena, Harsha ; Garg, Vaibhav

  • Author_Institution
    Univ. of Canterbury, Christchurch
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    4506
  • Lastpage
    4511
  • Abstract
    In this paper, we extend the analytical model for the TCP steady state throughput as a function of the network utilization factor, round trip time and packet drop rate for unlimited data transfer to capture the fast retransmit and recovery mechanisms. These mechanisms are frequently activated on connections over wireless links. We model TCP with a modified fast retransmit algorithm that allows packet recovery with smaller congestion window sizes than possible with TCP Reno or NewReno, thereby reducing the likelihood of timeouts. We also propose a further modification that dynamically adjusts its congestion window by considering the packet drop rate as the input parameter. Simulations with the OPNET tool demonstrate that the model is able to predict TCP performance accurately over a wide range of packet loss rates. Moreover, simulation results show the performance of the modified TCP scheme is markedly superior to that of standard TCP Reno over a UMTS network.
  • Keywords
    3G mobile communication; radio links; radio-over-fibre; transport protocols; TCP steady state throughput; UMTS network; network utilization factor; packet drop rate; recovery mechanism; recovery mechanisms; retransmit algorithm; wireless environments; 3G mobile communication; Analytical models; Bit error rate; Communication system control; Performance loss; Phase detection; Predictive models; Protocols; Steady-state; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2007. ICC '07. IEEE International Conference on
  • Conference_Location
    Glasgow
  • Print_ISBN
    1-4244-0353-7
  • Type

    conf

  • DOI
    10.1109/ICC.2007.744
  • Filename
    4289415