• DocumentCode
    3107986
  • Title

    Monte Carlo analysis to estimate the performance of adaptive Power Control algorithm for varying target SIR

  • Author

    Datta, C.R. ; Datta, Amitava ; Gupta, Deepika ; Chakravarty, S.K.

  • Author_Institution
    Sch. Educ. Dept., Gov. of West Bengal, Kolkata, India
  • fYear
    2012
  • fDate
    28-29 Dec. 2012
  • Firstpage
    568
  • Lastpage
    571
  • Abstract
    In this paper we study the performance of two Power Control algorithms: the Adaptive Standard Power Control (ASPC) and the Standard Power Control (PCA) algorithms. Simulation of both algorithms is being done under three different network conditions including the case with varying SIR target. In order to achieve robust estimates of the performance we have undertaken Monte-Carlo analysis of 500 runs for each case. These results show that the performance ASPC is be better than PCA under the different network conditions considered in this paper. All simulations are done in MATLAB.
  • Keywords
    Monte Carlo methods; adaptive control; power control; signal processing; MATLAB; Monte Carlo analysis; adaptive power control algorithm; adaptive standard power control; network condition; signal to interference ratio; standard power control algorithm; Adaptation models; MATLAB; Mathematical model; Mobile communication; Principal component analysis; Robustness; Standards; Cellular networks; Mobile communication; Quality of service; Radio transceivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Devices and Intelligent Systems (CODIS), 2012 International Conference on
  • Conference_Location
    Kolkata
  • Print_ISBN
    978-1-4673-4699-3
  • Type

    conf

  • DOI
    10.1109/CODIS.2012.6422266
  • Filename
    6422266