A Comparative Study of Different Entropies for Spectrum Sensing Techniques

• Published in: Wireless personal communications Vol. 69; no. 4; pp. 1719 - 1733
• Main Authors: Zhu, Wanjing, Ma, Jianguo, Faust, Oliver
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.04.2013; Springer
• Subjects: Analysis of variance; Applied sciences; Approximation; Cognitive radio; Communications Engineering; Computer Communication Networks; Computer simulation; Detection; Engineering; Entropy; Exact sciences and technology; Information theory; Information, signal and communications theory; Monte Carlo methods; Networks; Noise levels; Radiocommunications; Signal,Image and Speech Processing; Telecommunications; Telecommunications and information theory; Transmitters. Receivers; Cognitive radio; Entropy; Spectrum sensing; Monte Carlo method; Variance analysis; Modeling; Spectral analysis; Variance; Channel estimation; Wireless network; Value analysis; Software radio; Signal to noise ratio; Information theory

In this paper, we propose entropy-based spectrum sensing schemes to detect the existence of a primary user in Cognitive Radio (CR). To support this proposal, we have studied four types of entropies [Approximate Entropy (ApEn), Bispectral Entropy (BispEn), Sample Entropy (SamEn) and Rényi Entropy (Re...