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DOI: 10.14569/IJACSA.2015.061203
PDF

Spectrum Sensing Methodologies for Cognitive Radio Systems: A Review

Author 1: Ireyuwa E. Igbinosa
Author 2: Olutayo O. Oyerinde
Author 3: Viranjay M. Srivastava
Author 4: Stanley Mneney

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 12, 2015.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Spectrum sensing is an important functional unit of the cognitive radio networks. The spectrum sensing is one of the main challenges encountered by cognitive radio. This paper presents a survey of spectrum sensing techniques and they are studied from a cognitive radio perspective. The challenges that go with spectrum sensing are reviewed. Two sensing schemes, namely; cooperative sensing and eigenvalue-based sensing are studied. The various advantages and disadvantages are highlighted. Based on this study, the cooperative spectrum sensing is proposed for employment in spectrum sensing in wideband based cognitive radio systems.

Keywords: Cognitive radio; Cooperative sensing; Data Fusion; OFDM; Spectrum Sensing; wideband sensing

Ireyuwa E. Igbinosa, Olutayo O. Oyerinde, Viranjay M. Srivastava and Stanley Mneney, “Spectrum Sensing Methodologies for Cognitive Radio Systems: A Review” International Journal of Advanced Computer Science and Applications(IJACSA), 6(12), 2015. http://dx.doi.org/10.14569/IJACSA.2015.061203

@article{Igbinosa2015,
title = {Spectrum Sensing Methodologies for Cognitive Radio Systems: A Review},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.061203},
url = {http://dx.doi.org/10.14569/IJACSA.2015.061203},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {12},
author = {Ireyuwa E. Igbinosa and Olutayo O. Oyerinde and Viranjay M. Srivastava and Stanley Mneney}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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