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http://dx.doi.org/10.7840/kics.2015.40.7.1234

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

Jung, Honggyu (School of Electronic Engineering, Soongsil University)
Kim, Kwangyul (School of Electronic Engineering, Soongsil University)
Shin, Yoan (School of Electronic Engineering, Soongsil University)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.40, no.7, 2015 , pp. 1234-1238 More about this Journal
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.
Keywords
Sub-Nyquist Sampling; Spectrum Sensing; Hard Decision; Hypothesis Test; Sparsity;
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