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A Comprehensive Survey on Spectrum Sensing in Cognitive Radio Networks: Recent Advances, New Challenges, and Future Research Directions

School of Electrical Engineering and Computer Science (SEECS), University of North Dakota, Grand Forks, ND 58202, USA
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Sensors 2019, 19(1), 126; https://doi.org/10.3390/s19010126
Received: 19 November 2018 / Revised: 16 December 2018 / Accepted: 26 December 2018 / Published: 2 January 2019
(This article belongs to the Section Sensor Networks)
Cognitive radio technology has the potential to address the shortage of available radio spectrum by enabling dynamic spectrum access. Since its introduction, researchers have been working on enabling this innovative technology in managing the radio spectrum. As a result, this research field has been progressing at a rapid pace and significant advances have been made. To help researchers stay abreast of these advances, surveys and tutorial papers are strongly needed. Therefore, in this paper, we aimed to provide an in-depth survey on the most recent advances in spectrum sensing, covering its development from its inception to its current state and beyond. In addition, we highlight the efficiency and limitations of both narrowband and wideband spectrum sensing techniques as well as the challenges involved in their implementation. TV white spaces are also discussed in this paper as the first real application of cognitive radio. Last but by no means least, we discuss future research directions. This survey paper was designed in a way to help new researchers in the field to become familiar with the concepts of spectrum sensing, compressive sensing, and machine learning, all of which are the enabling technologies of the future networks, yet to help researchers further improve the efficiently of spectrum sensing. View Full-Text
Keywords: cognitive radio; spectrum sensing; narrowband sensing; wideband sensing; compressive sensing; machine learning cognitive radio; spectrum sensing; narrowband sensing; wideband sensing; compressive sensing; machine learning
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Arjoune, Y.; Kaabouch, N. A Comprehensive Survey on Spectrum Sensing in Cognitive Radio Networks: Recent Advances, New Challenges, and Future Research Directions. Sensors 2019, 19, 126.

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