• DocumentCode
    2125001
  • Title

    Autoregressive Channel Prediction Model for Cognitive Radio

  • Author

    Dong Chunli ; Dong Yuning ; Wang Li

  • Author_Institution
    Coll. of Commun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An autoregressive channel prediction model is presented for cognitive radio systems. This model adopts a second-order AR model and a particle filter. In this paper, an AR model of order p is used to approximate the flat Rayleigh fading channels. Simulation results show that the performance of the proposed autoregressive channel prediction model based on particle filtering is better than that of Kalman filtering.
  • Keywords
    Rayleigh channels; cognitive radio; particle filtering (numerical methods); autoregressive channel prediction model; cognitive radio systems; flat Rayleigh fading channels; particle filtering; Cognitive radio; Educational institutions; Fading; Filtering; Kalman filters; Predictive models; State estimation; Telecommunication traffic; Traffic control; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5302972
  • Filename
    5302972
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2125001