Cooperative Spectrum Sensing Utilizing Sub-Nyquist Sampling in Cognitive Radio Networks 


Vol. 40,  No. 7, pp. 1234-1238, Jul.  2015


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  Abstract

We propose cooperative spectrum sensing schemes based on sub-Nyquist sampling. As compressed sensing has recently attracted great attention, sparsity order estimation techniques also has been widely investigated. Thus, assuming that the sparsity order of channel occupancy can be obtained, we mathematically analyze the detection performance of sub-Nyquist sampling schemes according to various sampling rates and cooperative spectrum sensing schemes. Simulation results verify the performance of the proposed schemes.

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  Cite this article

[IEEE Style]

H. Jung, K. Kim, Y. Shin, "Cooperative Spectrum Sensing Utilizing Sub-Nyquist Sampling in Cognitive Radio Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 7, pp. 1234-1238, 2015. DOI: .

[ACM Style]

Honggyu Jung, Kwangyul Kim, and Yoan Shin. 2015. Cooperative Spectrum Sensing Utilizing Sub-Nyquist Sampling in Cognitive Radio Networks. The Journal of Korean Institute of Communications and Information Sciences, 40, 7, (2015), 1234-1238. DOI: .

[KICS Style]

Honggyu Jung, Kwangyul Kim, Yoan Shin, "Cooperative Spectrum Sensing Utilizing Sub-Nyquist Sampling in Cognitive Radio Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 7, pp. 1234-1238, 7. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880