• DocumentCode
    2271367
  • Title

    Software architecture design for a Dynamic Spectrum Allocation-enabled Cognitive Radio testbed

  • Author

    Tonelli, Oscar ; Berardinelli, Gilberto ; Cattoni, Andrea F. ; Sorensen, Troels B. ; Mogensen, Preben

  • Author_Institution
    Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark
  • fYear
    2011
  • fDate
    Aug. 29 2011-Sept. 2 2011
  • Firstpage
    2294
  • Lastpage
    2298
  • Abstract
    The evolution of wireless communications is bringing into reality the dense deployment of femto and local area cells, which represents a challenging scenario for proving the effectiveness of Cognitive Radio (CR) frameworks. In particular the Dynamic Spectrum Allocation (DSA) paradigm aims at solving the resource allocation problem in a fully autonomous way. While in both CR and standardization lot of effort has been spent in developing efficient DSA algorithms, their research-oriented software radio implementation is still disregarded. In this paper, the design approach used for the definition of a CR-based, local area-oriented testbed platform is introduced. In particular, the testbed design in relation to the selected scenario and the architecture of the developed software framework are presented. An analysis of the performance of key software functionalities is also provided: preliminary results show a computational load compatible with nowadays Commercial-Off-The-Shelf computers.
  • Keywords
    channel allocation; cognitive radio; femtocellular radio; radio spectrum management; software radio; CR framework; DSA-enabled cognitive radio testbed; dynamic spectrum allocation paradigm; femtocell deployment; local area cells; research-oriented software radio implementation; resource allocation problem; wireless communications; Algorithm design and analysis; Computer architecture; Femtocells; Hardware; Instruction sets; Software architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2011 19th European
  • Conference_Location
    Barcelona
  • ISSN
    2076-1465
  • Type

    conf

  • Filename
    7074176