• DocumentCode
    1350461
  • Title

    Energy-Efficient Fast Fourier Transforms for Cognitive Radio Systems

  • Author

    Airoldi, Roberto ; Anjum, Omer ; Garzia, Fabio ; Wyglinski, Alexander M. ; Nurmi, Jari

  • Volume
    30
  • Issue
    6
  • fYear
    2010
  • Firstpage
    66
  • Lastpage
    76
  • Abstract
    An energy-efficient fast Fourier transform (FFT) algorithm for cognitive radio communication systems uses a homogeneous multiprocessor system on chip. The algorithm allows for pruning of inputs such that algorithm complexity can be reduced whenever several of the FFT inputs are zero. Results show that the pruning algorithm significantly reduces energy consumption compared to a nonpruned version.
  • Keywords
    cognitive radio; energy conservation; fast Fourier transforms; system-on-chip; cognitive radio systems; energy consumption; energy-efficient fast fourier transforms; homogeneous multiprocessor system on chip; pruning algorithm; Clocks; Cognitive radio; Complexity theory; Nickel; OFDM; Transceivers; FFT pruning; NC-OFDM; cognitive radio; energy efficiency; multiprocessor system on chip; parallel algorithms.;
  • fLanguage
    English
  • Journal_Title
    Micro, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1732
  • Type

    jour

  • DOI
    10.1109/MM.2010.84
  • Filename
    5601684
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1350461