1st International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

An Efficient Implementation of NC-OFDM Transceivers for Cognitive Radios

  • @INPROCEEDINGS{10.1109/CROWNCOM.2006.363452,
        author={Rakesh  Rajbanshi and Alexander M.  Wyglinski and Gary J.  Minden},
        title={An Efficient Implementation of NC-OFDM Transceivers for Cognitive Radios},
        proceedings={1st International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2007},
        month={5},
        keywords={Algorithm design and analysis Cognitive radio Computational complexity Demodulation Fast Fourier transforms Fourier transforms Hardware Interference OFDM modulation Transceivers},
        doi={10.1109/CROWNCOM.2006.363452}
    }
    
  • Rakesh Rajbanshi
    Alexander M. Wyglinski
    Gary J. Minden
    Year: 2007
    An Efficient Implementation of NC-OFDM Transceivers for Cognitive Radios
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2006.363452
Rakesh Rajbanshi1,*, Alexander M. Wyglinski1,*, Gary J. Minden1,*
  • 1: Information and Telecommunication Technology Center, The University of Kansas, Lawrence, KS 66045
*Contact email: rajbansh@ittc.ku.edu, alexw@ittc.ku.edu, gminden@ittc.ku.edu

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 deactivated