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 …

This article considers a relay-based underlay cognitive radio vehicular network, where a
secondary source vehicle transmits information to a secondary destination vehicle with a …

The growing cognizance of spectrum scarcity has become a more significant concern in
wireless radio communications. Due to the exponential growth of data transmission in …

In this paper, we investigate an overlay cognitive radio network (CRN) in which one user is
selected among multiple secondary users (SUs) to harvest energy from primary …

In this paper, physical-layer security (PLS) of an underlay cognitive radio network (CRN)
operating over cascaded Rayleigh fading channels is examined. In this scenario, a …

In this paper, a reinforcement learning technique is employed to maximize the performance
of a cognitive radio network (CRN). In the presence of primary users (PUs), it is presumed …

The Internet of Things (IoT) is a rapidly growing network of interconnected devices that has
the potential to revolutionize many industries and sectors. However, IoT devices are often …

The future of autonomous transportation systems depends on energy sustainability and
secure information exchange from low-power vehicular sensors, hence the increased …

This article presents a reinforcement learning-based approach to improve the physical layer
security of an underlay cognitive radio network over cascaded channels. These channels …

Cognitive radio networks (CRNs) are acknowledged for their ability to tackle the issue of
spectrum under-utilization. In the realm of CRNs, this paper investigates the energy …