• DocumentCode
    3537545
  • Title

    CSERE (Cognitive System Enabling Radio Evolution): A modular and user-friendly cognitive engine

  • Author

    Young, Alan R. ; Kaminski, Nicholas J. ; Fayez, A. ; Bostian, C.W.

  • Author_Institution
    Bradley Dept. of Electr. & Comput. Eng., Virginia Tech, Blacksburg, VA, USA
  • fYear
    2012
  • fDate
    16-19 Oct. 2012
  • Firstpage
    59
  • Lastpage
    67
  • Abstract
    CSERE (Cognitive System Enabling Radio Evolution) is a high performance modular cognitive engine written in Python which can control a wide variety of radio platforms to implement fully functional cognitive radios. Its modular architecture allows CSERE to hot swap software components like objective analyzers (objective function calculators), rankers, and environmental sensors, based on the evolving needs of the cognitive radio´s mission and changes in the RF environment. Using an embedded version of CSERE running on a US $150 BeagleBoard single-board computer and controlling a US $12 Hope RF RFM22B RFIC, the authors have built cognitive radios small enough to install on Lego robots and inexpensive enough for student laboratory work. The CSERE software is available for research purposes at no cost.
  • Keywords
    cognitive radio; electric sensing devices; embedded systems; human computer interaction; microcomputers; mobile robots; radiofrequency integrated circuits; BeagleBoard single-board computer; CSERE embedded version; CSERE software; Hope RF RFM22B RFIC; Lego robots; Python; RF environment; cognitive radio mission; cognitive system enabling radio evolution; fully functional cognitive radios; high performance modular cognitive engine; hot swap software components; radio platforms; student laboratory work; user-friendly cognitive engine; Cognitive radio; Engines; Genetic algorithms; Knowledge based systems; Sensors; Sociology; Statistics; BeagleBoard; adaptive radio; cognitive engine; cognitive radio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dynamic Spectrum Access Networks (DYSPAN), 2012 IEEE International Symposium on
  • Conference_Location
    Bellevue, WA
  • Print_ISBN
    978-1-4673-4447-0
  • Electronic_ISBN
    978-1-4673-4446-3
  • Type

    conf

  • DOI
    10.1109/DYSPAN.2012.6478116
  • Filename
    6478116