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Spectrum Sensing Based on Combined Eigenvalue and Eigenvector through Blind Learning

Journal Article


Abstract


  • This work focuses on exploiting both eigenvalues and eigenvectors for spectrum sensing in cognitive radio. First, we design a blind learning algorithm for obtaining the prior knowledge of the maximum eigenvalue of noises and the leading eigenvector of primary signals by using historical sensing data. Then, we propose a new detector for spectrum sensing by exploiting both the maximum eigenvalue and the leading eigenvector. A theoretical expression for the decision threshold of the proposed detector is derived. Numerical results are provided to validate the theoretical analysis and demonstrate the superior performance of the proposed detector.

UOW Authors


  •   Guo, Chen (external author)
  •   Jin, Ming (external author)
  •   Guo, Qinghua
  •   Li, Youming (external author)

Publication Date


  • 2018

Citation


  • C. Guo, M. Jin, Q. Guo & Y. Li, "Spectrum Sensing Based on Combined Eigenvalue and Eigenvector through Blind Learning," IEEE Communications Letters, vol. 22, (8) pp. 1636-1639, 2018.

Scopus Eid


  • 2-s2.0-85047995903

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/1694

Number Of Pages


  • 3

Start Page


  • 1636

End Page


  • 1639

Volume


  • 22

Issue


  • 8

Place Of Publication


  • United States

Abstract


  • This work focuses on exploiting both eigenvalues and eigenvectors for spectrum sensing in cognitive radio. First, we design a blind learning algorithm for obtaining the prior knowledge of the maximum eigenvalue of noises and the leading eigenvector of primary signals by using historical sensing data. Then, we propose a new detector for spectrum sensing by exploiting both the maximum eigenvalue and the leading eigenvector. A theoretical expression for the decision threshold of the proposed detector is derived. Numerical results are provided to validate the theoretical analysis and demonstrate the superior performance of the proposed detector.

UOW Authors


  •   Guo, Chen (external author)
  •   Jin, Ming (external author)
  •   Guo, Qinghua
  •   Li, Youming (external author)

Publication Date


  • 2018

Citation


  • C. Guo, M. Jin, Q. Guo & Y. Li, "Spectrum Sensing Based on Combined Eigenvalue and Eigenvector through Blind Learning," IEEE Communications Letters, vol. 22, (8) pp. 1636-1639, 2018.

Scopus Eid


  • 2-s2.0-85047995903

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/1694

Number Of Pages


  • 3

Start Page


  • 1636

End Page


  • 1639

Volume


  • 22

Issue


  • 8

Place Of Publication


  • United States