• DocumentCode
    2020223
  • Title

    Power Control Algorithms for CDMA Networks Based on Large System Analysis

  • Author

    Buzzi, S. ; Poor, H. Vincent

  • Author_Institution
    Univ. degli Studi di Cassino, Cassino
  • fYear
    2007
  • fDate
    24-29 June 2007
  • Firstpage
    2426
  • Lastpage
    2430
  • Abstract
    Power control is a fundamental task accomplished in any wireless cellular network; its aim is to set the transmit power of any mobile terminal, so that each user is able to achieve its own target SINR. While conventional power control algorithms require knowledge of a number of parameters of the signal of interest and of the multiaccess interference, in this paper it is shown that in a large CDMA system much of this information can be dispensed with, and effective distributed power control algorithms may be implemented with very little information on the user of interest. An uplink CDMA system subject to flat fading is considered with a focus on the cases in which a linear MMSE receiver and a non-linear MMSE serial interference cancellation receiver are adopted; for the latter case new formulas are also given for the system SINR in the large system asymptote. Experimental results show an excellent agreement between the performance and the power profile of the proposed distributed algorithms and that of conventional ones that require much greater prior knowledge.
  • Keywords
    cellular radio; code division multiple access; least mean squares methods; power aware computing; receivers; CDMA networks; distributed power control algorithms; flat fading; large system analysis; linear MMSE receiver; mobile terminal; multiaccess interference; nonlinear MMSE serial interference cancellation receiver; uplink CDMA system; wireless cellular network; Active noise reduction; Additive noise; Algorithm design and analysis; Interference cancellation; Land mobile radio cellular systems; Limiting; Multiaccess communication; Noise level; Power control; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2007. ISIT 2007. IEEE International Symposium on
  • Conference_Location
    Nice
  • Print_ISBN
    978-1-4244-1397-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2007.4557173
  • Filename
    4557173