The next frontier in wireless connectivity lies at the intersection of cognitive radio (CR)
technology and machine learning (ML), where intelligent networks can provide pervasive …

Cognitive radio network is a promising technology to enhance the spectrum utilization and to
resolve the spectrum scarcity issues. But the malicious users play havoc with the network …

Cooperative network is a promising concept for achieving a high-accuracy decision of
spectrum sensing in cognitive radio networks. It enables a collaborative exchange of the …

Cognitive radio (CR) technology has evolved over the traditional radio to successfully utilize
the unused frequency spectrum. In CR the secondary users (SUs) perform cooperative …

A cognitive radio network (CRN) is integrated with the Internet of Connected Vehicles (IoCV)
in order to address spectrum scarcity and communication reliability issues. However, it is …

Cognitive radio has been established as an optimal solution to enhance spectrum usage
proficiency and compensate the growing spectrum scarcity for wireless multimedia …

Spectrum sensing (SS) is an important tool in finding new opportunities for spectrum
sharing. The users, called Secondary Users (SU), who do not have a license to transmit …

The artificial intelligence‐based spectrum sensing approach is extremely important in terms
of effective bandwidth utilization for low power wide area networks (LPWANs) based on …

In cognitive radio network (CRN), effective spectrum management provides better quality of
service. The spectrum is limited but the significance of the spectrum is increasing at each …

As the spectrum resources are limited, unmanned aerial vehicles (UAVs) may communicate
by flexible spectrum sharing. To avoid interference to primary users, UAVs require spectrum …