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Blind cooperative parametric spectrum sensing with distributed sensors using local average power passing

Journal Article


Abstract


  • This work deals with the issue of blind cooperative

    spectrum sensing using distributed sensors with large-scale fading.

    We first investigate the Friedman-test-based nonparametric

    detector and analyze its performance. Due to the operations of

    instantaneous power passing and ranking, the nonparametric

    detector has relatively high-sensing overhead and computational

    complexity. To overcome these drawbacks, we then propose a

    blind cooperative parametric detector for which only local average

    power passing is needed and instantaneous power ranking is

    avoided. Compared with the nonparametric detector, the parametricdetectordeliversbetterperformancewithmuch

    lower overhead

    and complexity. The detection probability and false alarm probability

    of the parametric detector are analyzed, and its decision

    threshold is derived. Simulation results demonstrate the superior

    performance of the parametric detector, compared with the energy

    detector and the eigenvalue-based detectors in the literature.

Authors


  •   Jin, Ming (external author)
  •   Guo, Qinghua
  •   Li, Youming (external author)
  •   Xi, Jiangtao
  •   Wang, Gang (external author)
  •   Huang, Defeng (David) (external author)

Publication Date


  • 2016

Citation


  • M. Jin, Q. Guo, Y. Li, J. Xi, G. Wang & D. Huang, "Blind cooperative parametric spectrum sensing with distributed sensors using local average power passing," IEEE Transactions on Vehicular Technology, vol. 65, (12) pp. 9703-9714, 2016.

Scopus Eid


  • 2-s2.0-85013015625

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6353

Has Global Citation Frequency


Number Of Pages


  • 11

Start Page


  • 9703

End Page


  • 9714

Volume


  • 65

Issue


  • 12

Place Of Publication


  • United States

Abstract


  • This work deals with the issue of blind cooperative

    spectrum sensing using distributed sensors with large-scale fading.

    We first investigate the Friedman-test-based nonparametric

    detector and analyze its performance. Due to the operations of

    instantaneous power passing and ranking, the nonparametric

    detector has relatively high-sensing overhead and computational

    complexity. To overcome these drawbacks, we then propose a

    blind cooperative parametric detector for which only local average

    power passing is needed and instantaneous power ranking is

    avoided. Compared with the nonparametric detector, the parametricdetectordeliversbetterperformancewithmuch

    lower overhead

    and complexity. The detection probability and false alarm probability

    of the parametric detector are analyzed, and its decision

    threshold is derived. Simulation results demonstrate the superior

    performance of the parametric detector, compared with the energy

    detector and the eigenvalue-based detectors in the literature.

Authors


  •   Jin, Ming (external author)
  •   Guo, Qinghua
  •   Li, Youming (external author)
  •   Xi, Jiangtao
  •   Wang, Gang (external author)
  •   Huang, Defeng (David) (external author)

Publication Date


  • 2016

Citation


  • M. Jin, Q. Guo, Y. Li, J. Xi, G. Wang & D. Huang, "Blind cooperative parametric spectrum sensing with distributed sensors using local average power passing," IEEE Transactions on Vehicular Technology, vol. 65, (12) pp. 9703-9714, 2016.

Scopus Eid


  • 2-s2.0-85013015625

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/6353

Has Global Citation Frequency


Number Of Pages


  • 11

Start Page


  • 9703

End Page


  • 9714

Volume


  • 65

Issue


  • 12

Place Of Publication


  • United States