Cognitive radio (CR) has become an interesting research field that attracts researchers due
to its increasing spectrum efficiency. Therefore, spectrum sensing (SS) is the essential …

Artificial intelligence has been viewed as a promising solution for cognitive radio (CR) in
recent years. In this paper, we address the task of cooperative wideband spectrum sensing …

The high demand for wireless devices has restricted the use of usable radio spectrum, which
is a scarce resource. To prevent interference and increase spectrum saturation, the idea of …

With the progress and upgrade of wireless telecommunication technologies, the lack of
spectrum resources is pretty serious. As a method to improve spectrum utilization, cognitive …

An important functionality of cognitive radio network is spectrum sensing. It is performed to
determine the idle frequency bands that are not being occupied by a licensed primary user …

Machine learning is the powerful tool of the artificial intelligence which is popularly
implemented in several applications. Spectrum sensing is the important function of a …

According to CISCO report threefold increase in the mobile traffic can be witnessed between
2016 and 2021. With this, there will be a problem of spectrum allocation and usage. So, to …

The fast growth of wireless technology in today's scenario has paved huge demand for
licenced and unlicenced frequencies of the spectrum. Cognitive radio will be useful for this …

Abstract In recent years, Machine Learning (ML) based spectrum sensing technology has
provided a new solution in spectrum status identification for cognitive radio systems. Based …

Cognitive Radio is the best solution for the problem of Spectrum Scarcity. Cognitive Radio
System senses unused frequencies intelligently without interrupting the users with authority …