An Efficient FFT For OFDM Based Cognitive Radio On A Reconfigurable Architecture

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

28 Citations (Scopus)
119 Downloads (Pure)

Abstract

Cognitive Radio is a promising technology to utilize non-used parts of the spectrum that actually are assigned to licensed services. An adaptive OFDM based Cognitive Radio system has the capacity to nullify individual carriers to avoid interference to the licensed user. Therefore, there could be a considerably large number of zero-valued inputs/outputs for the IFFT/FFT in the OFDM transceiver. Due to the wasted operations on zero values, the standard FFT is no longer efficient. Based on this observation, we propose to use a computationally efficient IFFT/FFT as an option for OFDM based Cognitive Radio. Mapping this algorithm onto a reconfigurable architecture is discussed.
Original languageUndefined
Title of host publicationIEEE International Conference on Communications 2007 Cognet Workshop
Place of PublicationGlasgow
PublisherIEEE Communications Society
Pages6522-6526
Number of pages5
ISBN (Print)1-4244-0353-7
DOIs
Publication statusPublished - 24 Jun 2007
EventFirst IEEE CogNet Workshop, CogNet@ICC 2007: Towards Cognition in Wireless Networks - Glasgow, United Kingdom
Duration: 24 Jun 200724 Jun 2007
Conference number: 1

Publication series

Name
PublisherIEEE Communication Society

Conference

ConferenceFirst IEEE CogNet Workshop, CogNet@ICC 2007
Abbreviated titleCogNet@ICC
CountryUnited Kingdom
CityGlasgow
Period24/06/0724/06/07

Keywords

  • EWI-9550
  • METIS-242161
  • IR-67024

Cite this

Zhang, Q., Kokkeler, A. B. J., & Smit, G. J. M. (2007). An Efficient FFT For OFDM Based Cognitive Radio On A Reconfigurable Architecture. In IEEE International Conference on Communications 2007 Cognet Workshop (pp. 6522-6526). [10.1109/ICC.2007.1079] Glasgow: IEEE Communications Society. https://doi.org/10.1109/ICC.2007.1079
Zhang, Q. ; Kokkeler, Andre B.J. ; Smit, Gerardus Johannes Maria. / An Efficient FFT For OFDM Based Cognitive Radio On A Reconfigurable Architecture. IEEE International Conference on Communications 2007 Cognet Workshop. Glasgow : IEEE Communications Society, 2007. pp. 6522-6526
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title = "An Efficient FFT For OFDM Based Cognitive Radio On A Reconfigurable Architecture",
abstract = "Cognitive Radio is a promising technology to utilize non-used parts of the spectrum that actually are assigned to licensed services. An adaptive OFDM based Cognitive Radio system has the capacity to nullify individual carriers to avoid interference to the licensed user. Therefore, there could be a considerably large number of zero-valued inputs/outputs for the IFFT/FFT in the OFDM transceiver. Due to the wasted operations on zero values, the standard FFT is no longer efficient. Based on this observation, we propose to use a computationally efficient IFFT/FFT as an option for OFDM based Cognitive Radio. Mapping this algorithm onto a reconfigurable architecture is discussed.",
keywords = "EWI-9550, METIS-242161, IR-67024",
author = "Q. Zhang and Kokkeler, {Andre B.J.} and Smit, {Gerardus Johannes Maria}",
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month = "6",
day = "24",
doi = "10.1109/ICC.2007.1079",
language = "Undefined",
isbn = "1-4244-0353-7",
publisher = "IEEE Communications Society",
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booktitle = "IEEE International Conference on Communications 2007 Cognet Workshop",
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}

Zhang, Q, Kokkeler, ABJ & Smit, GJM 2007, An Efficient FFT For OFDM Based Cognitive Radio On A Reconfigurable Architecture. in IEEE International Conference on Communications 2007 Cognet Workshop., 10.1109/ICC.2007.1079, IEEE Communications Society, Glasgow, pp. 6522-6526, First IEEE CogNet Workshop, CogNet@ICC 2007, Glasgow, United Kingdom, 24/06/07. https://doi.org/10.1109/ICC.2007.1079

An Efficient FFT For OFDM Based Cognitive Radio On A Reconfigurable Architecture. / Zhang, Q.; Kokkeler, Andre B.J.; Smit, Gerardus Johannes Maria.

IEEE International Conference on Communications 2007 Cognet Workshop. Glasgow : IEEE Communications Society, 2007. p. 6522-6526 10.1109/ICC.2007.1079.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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T1 - An Efficient FFT For OFDM Based Cognitive Radio On A Reconfigurable Architecture

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AU - Kokkeler, Andre B.J.

AU - Smit, Gerardus Johannes Maria

PY - 2007/6/24

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N2 - Cognitive Radio is a promising technology to utilize non-used parts of the spectrum that actually are assigned to licensed services. An adaptive OFDM based Cognitive Radio system has the capacity to nullify individual carriers to avoid interference to the licensed user. Therefore, there could be a considerably large number of zero-valued inputs/outputs for the IFFT/FFT in the OFDM transceiver. Due to the wasted operations on zero values, the standard FFT is no longer efficient. Based on this observation, we propose to use a computationally efficient IFFT/FFT as an option for OFDM based Cognitive Radio. Mapping this algorithm onto a reconfigurable architecture is discussed.

AB - Cognitive Radio is a promising technology to utilize non-used parts of the spectrum that actually are assigned to licensed services. An adaptive OFDM based Cognitive Radio system has the capacity to nullify individual carriers to avoid interference to the licensed user. Therefore, there could be a considerably large number of zero-valued inputs/outputs for the IFFT/FFT in the OFDM transceiver. Due to the wasted operations on zero values, the standard FFT is no longer efficient. Based on this observation, we propose to use a computationally efficient IFFT/FFT as an option for OFDM based Cognitive Radio. Mapping this algorithm onto a reconfigurable architecture is discussed.

KW - EWI-9550

KW - METIS-242161

KW - IR-67024

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DO - 10.1109/ICC.2007.1079

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Zhang Q, Kokkeler ABJ, Smit GJM. An Efficient FFT For OFDM Based Cognitive Radio On A Reconfigurable Architecture. In IEEE International Conference on Communications 2007 Cognet Workshop. Glasgow: IEEE Communications Society. 2007. p. 6522-6526. 10.1109/ICC.2007.1079 https://doi.org/10.1109/ICC.2007.1079