Title :
Energy-Efficient Fast Fourier Transforms for Cognitive Radio Systems
Author :
Airoldi, Roberto ; Anjum, Omer ; Garzia, Fabio ; Wyglinski, Alexander M. ; Nurmi, Jari
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.;
Journal_Title :
Micro, IEEE
