• DocumentCode
    1964739
  • Title

    Power control for non-Gaussian interference

  • Author

    Chen, Yi ; Wong, Wing Shing

  • Author_Institution
    Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2009
  • fDate
    23-27 June 2009
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper investigates the power control problem involving a small number of active users whereby the standard Gaussian interference noise assumption does not hold. The model also allows for different user transmission rates. We analyze the situation under which the system can be asymptotically error-free. Subsequently, we formulate a power control optimization problem and propose an iterative descent algorithm for solution. We prove that under suitable conditions, the power control optimization problem has a unique solution which is achieved by the proposed algorithm. Simulations are carried out and compared with the power control results under the classical Gaussian assumption.
  • Keywords
    error statistics; iterative methods; optimisation; power control; radiocommunication; radiofrequency interference; telecommunication control; BEP; bit error probability; iterative descent algorithm; nonGaussian interference model; power control optimization problem; wireless communication system; Bandwidth; Bit rate; Error probability; Gaussian noise; Interference; Iterative algorithms; Power control; Power system modeling; Signal processing algorithms; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2009. WiOPT 2009. 7th International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4919-4
  • Electronic_ISBN
    978-1-4244-4920-0
  • Type

    conf

  • DOI
    10.1109/WIOPT.2009.5291618
  • Filename
    5291618