Energy-efficient spectrum sensing using cyclostationarity

Quang Thai*, Sam Reisenfeld, Sithamparanathan Kandeepan, Gian Mario Maggio

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

    3 Citations (Scopus)


    This paper introduces a reduced complexity approach to cyclostationarity detection of primary user signals in cognitive radio systems. The decision statistic is formulated by exploiting the variations of portions the sensed signal's spectral correlation density function estimate, due to either the presence or absence of the primary user signal. The presented detector has low computational complexity and has decision error performance which is superior to energy detection; these qualities make it suitable for energy-efficient cognitive radio terminals operating with limited power sources. The performance of this detection method is obtained by computer simulation and the computational complexity is evaluated.

    Original languageEnglish
    Title of host publication2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings
    Place of PublicationPiscataway, N.J.
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Number of pages5
    ISBN (Electronic)9781424483310
    ISBN (Print)9781424483327
    Publication statusPublished - 2011
    Event2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Budapest, Hungary
    Duration: 15 May 201118 May 2011


    Conference2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring


    • cognitive radio
    • detect and avoid
    • green communications
    • spectrum sensing
    • detection
    • energy detection
    • cyclostationary
    • cyclostationarity detection
    • spectral correlation density
    • frequency accumulation method

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