• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Complexity based Sensing Strategy for Spectrum Sensing in Cognitive Radio Networks

Vol. 13, No. 9, September 29, 2019
10.3837/tiis.2019.09.003, Download Paper (Free):

Abstract

Spectrum sensing has attracted much attention due to its significant contribution to idle spectrum detection in Cognitive Radio Networks. However, specialized discussion is on complexity-based sensing strategy for spectrum sensing seldom considered. Motivated by this, this paper is devoted to complexity-based sensing strategy for spectrum sensing. Firstly, three efficiency functions are defined to estimate sensing efficiency of a spectrum scheme. Then a novel sensing strategy is proposed given sensing performance and computational complexity. After that, the proposed sensing strategy is extended to energy detector, Cyclostationary feature detector, covariance matrix detector and cooperative spectrum detector. The proposed sensing strategy provides a novel insight into sensing performance estimation for its consideration of both sensing capacity and sensing complexity. Simulations analyze three efficiency functions and optimal sensing strategy of energy detector, Cyclostationary feature detector and covariance matrix detector.


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Cite this article

[IEEE Style]
K. Huang, Y. Liu, Y. Hong, J. Mu, "Complexity based Sensing Strategy for Spectrum Sensing in Cognitive Radio Networks," KSII Transactions on Internet and Information Systems, vol. 13, no. 9, pp. 4372-4389, 2019. DOI: 10.3837/tiis.2019.09.003.

[ACM Style]
Kewen Huang, Yimin Liu, Yuanquan Hong, and Junsheng Mu. 2019. Complexity based Sensing Strategy for Spectrum Sensing in Cognitive Radio Networks. KSII Transactions on Internet and Information Systems, 13, 9, (2019), 4372-4389. DOI: 10.3837/tiis.2019.09.003.

[BibTeX Style]
@article{tiis:22201, title="Complexity based Sensing Strategy for Spectrum Sensing in Cognitive Radio Networks", author="Kewen Huang and Yimin Liu and Yuanquan Hong and Junsheng Mu and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2019.09.003}, volume={13}, number={9}, year="2019", month={September}, pages={4372-4389}}