An Efficient Implementation of NC-OFDM Transceivers for Cognitive Radios
Top Cited Papers
- 1 June 2006
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 53 (21665370) , 1-5
- https://doi.org/10.1109/crowncom.2006.363452
Abstract
In this paper, we present an efficient implementation of a non-contiguous orthogonal frequency division multiplexing (NC-OFDM) transceiver for cognitive radio systems. NC-OFDM is designed to transmit information in the presence of incumbent users, deactivating subcarriers located in the vicinity of these users to avoid interference. Given that the. core, component of an NC-OFDM transceiver is the fast Fourier transform (FFT), and that several of the subcarriers are deactivated, it is possible to reduce the execution time by "pruning" the FFT. We propose an algorithm that efficiently and quickly primes the FFT for NC-OFDM transceivers. Results show that the proposed algorithm substantially outperforms other FFT pruning algorithms when a medium to large number of subcarriers have been deactivatedKeywords
This publication has 18 references indexed in Scilit:
- Spectrum sharing for unlicensed bandsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Dynamic spectrum sensing by multiband OFDM radio for interference mitigationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- A novel generic fast Fourier transform pruning technique and complexity analysisIEEE Transactions on Signal Processing, 2004
- Transmission techniques for digital terrestrial TV broadcastingIEEE Communications Magazine, 1995
- Efficient computation of the DFT with only a subset of input or output pointsIEEE Transactions on Signal Processing, 1993
- The interpolated fast Fourier transform: a comparative studyIEEE Transactions on Instrumentation and Measurement, 1992
- Comments on "FFT algorithm for both input and output pruning"IEEE Transactions on Acoustics, Speech, and Signal Processing, 1981
- High-resolution narrow-band spectra by FFT pruningIEEE Transactions on Acoustics, Speech, and Signal Processing, 1980
- FFT algorithm for both input and output pruningIEEE Transactions on Acoustics, Speech, and Signal Processing, 1979
- Pruning the decimation in-time FFT algorithmIEEE Transactions on Acoustics, Speech, and Signal Processing, 1976