• DocumentCode
    393935
  • Title

    Adaptive power control for CDMA systems using linear quadratic Gaussian control

  • Author

    Perreau, Sylvie ; Anderson, Michael D. ; White, Langford B.

  • Author_Institution
    Inst. of Telecommun. Res., South Australia Univ., Mawson Lakes, SA, Australia
  • Volume
    1
  • fYear
    2002
  • fDate
    3-6 Nov. 2002
  • Firstpage
    87
  • Abstract
    In this paper, we present a robust decentralized method for jointly performing channel estimation and closed loop power control for the reverse link of CDMA networks. Our method is based on linear quadratic control system theory and Kalman filtering and does not require any training symbols for channel or signal to interference ratio (SIR) estimation. The main interest of this new scheme is that it improves the performance of current SIR based power control techniques while avoiding the problem of power escalation, which is often observed in current systems. In this paper, we also provide an analysis on the robustness of this method towards errors on the control command and imperfect call admission control.
  • Keywords
    Kalman filters; adaptive control; channel estimation; closed loop systems; code division multiple access; decentralised control; linear quadratic Gaussian control; mobile radio; power control; radiofrequency interference; robust control; telecommunication congestion control; CDMA systems; Kalman filtering; SIR estimation; adaptive power control; call admission control; channel estimation; closed loop power control; code division multiple access; error robustness; linear quadratic Gaussian control; power escalation; robust decentralized method; signal to interference ratio; Adaptive control; Channel estimation; Control systems; Filtering theory; Kalman filters; Multiaccess communication; Nonlinear filters; Power control; Programmable control; Robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-7576-9
  • Type

    conf

  • DOI
    10.1109/ACSSC.2002.1197154
  • Filename
    1197154