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In real cognitive radio networks, the requirement for spectrum sensing in the case of lacking prior information and dynamically varying noise levels indeed poses a severe challenge. Motivated by these, in this letter, a Cooperative Power spectral density Split Cancelation (CPSC) method is proposed. The CPSC makes full use of the asymptotic normality and independence of a Fourier transform to get the...
Spectrum sensing of primary users under very low signal-to-noise ratio (SNR) and noise uncertainty is crucial for cognitive radio (CR) systems. To overcome the drawbacks of weak signal and noise uncertainty, eigenvalue-based spectrum sensing methods have been proposed for advanced CRs. However, one pressing disadvantage of eigenvalue-based spectrum sensing algorithms is their high computational complexity,...
Due to providing ideal detection performance, cooperative spectrum sensing has been widely employed in cognitive radio networks. However, sensing results of the distributed second users have great uncertainty arising from channel conditions. In order to settle the problem, this paper proposes a selective cooperative spectrum sensing scheme based on improved Dempster-Shafer evidence theory. The scheme...
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