Energy-Efficient Fast Fourier Transforms for Cognitive Radio Systems

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 th...

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Bibliographic Details
Published in:IEEE MICRO 2010-11, Vol.30 (6), p.66-76
Main Authors: Airoldi, Roberto, Anjum, Omer, Garzia, Fabio, Nurmi, Jari, Wyglinski, Alexander M
Format: Article
Language:English
Subjects:
Algorithms
Clocks
Cognitive radio
Complexity
Complexity theory
Energy consumption
Energy efficiency
FFT pruning
Fourier transforms
multiprocessor system on chip
NC-OFDM
Nickel
OFDM
parallel algorithms
Pruning
Radio
Radio communications
Semiconductors
System on chip
Transceivers
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Summary: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.
ISSN:0272-1732
1937-4143
DOI:10.1109/MM.2010.84