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http://dx.doi.org/10.7236/JIIBC.2013.13.4.39

A Cooperative Spectrum Sensing Method based on Eigenvalue and Superposition for Cognitive Radio Networks  

Miah, Md. Sipon (School of Electrical Engineering, University of Ulsan)
Koo, Insoo (School of Electrical Engineering, University of Ulsan)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.13, no.4, 2013 , pp. 39-46 More about this Journal
Abstract
Cooperative spectrum sensing can improve sensing reliability, compared with single node spectrum sensing. In addition, Eigenvalue-based spectrum sensing has also drawn a great attention due to its performance improvement over the energy detection method in which the more smoothing factor, the better performance is achieved. However, the more smoothing factor in Eignevalue-based spectrum sensing requires the more sensing time. Furthermore, more reporting time in cooperative sensing will be required as the number of nodes increases. Subsequently, we in this paper propose an Eigenvalue and superposition-based spectrum sensing where the reporting time is utilized so as to increase the number of smoothing factors for autocorrelation calculation. Simulation result demonstrates that the proposed scheme has better detection probability in both local as well as global detection while requiring less sensing time as compared with conventional Eigenvalue-based detection scheme.
Keywords
Cognitive radio network; spectrum sensing; eigenvalue; superposition;
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Times Cited By KSCI : 1  (Citation Analysis)
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