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 …

Relay selection not only maintains but also improves the reliability of source-destination
communication when the direct communication link cannot be established because of deep …

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, 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 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 …

Physical-layer security (PLS) is examined in this paper for an underlay cognitive radio
network (CRN). Two secondary users (SUs) interact through a relay that is equipped with …

The advent of the Internet of Things (IoT) has revolutionized connectivity by interconnecting
a vast array of devices, underscoring the critical need for robust data security, particularly at …

This paper explores the application of a federated learning-based multi-agent reinforcement
learning (MARL) strategy to enhance physical-layer security (PLS) in a multi-cellular network …