Spectrum sensing in cognitive radio networks: threshold optimization and analysis

Cognitive radio is a technology developed for the effective use of radio spectrum sources. The spectrum sensing function plays a key role in the performance of cognitive radio networks. In this study, a new threshold determination method based on online learning algorithm is proposed to increase the...

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Veröffentlicht in:	EURASIP journal on wireless communications and networking Jg. 2020; H. 1; S. 1 - 19
Hauptverfasser:	kockaya, Kenan, Develi, Ibrahim
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 12.12.2020 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Cognitive radio Communications Engineering Distance learning Energy detection Engineering Fading Information Systems Applications (incl.Internet) Machine learning Machine learning algorithm Matched filters Networks Online learning algorithm Optimization Radio networks Radio spectra Signal to noise ratio Signal,Image and Speech Processing Spectrum allocation Spectrum sensing Threshold Spectrum sensing Energy detection Machine learning algorithm Threshold Online learning algorithm
ISSN:	1687-1499, 1687-1472, 1687-1499
Online-Zugang:	Volltext
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