Cognitive radio technology has the potential to address the shortage of available radio
spectrum by enabling dynamic spectrum access. Since its introduction, researchers have …

With the rapid development of next‐generation wireless communication technologies and
the increasing demand of spectrum resources, it becomes necessary to introduce learning …

The massive growth in mobile users and wireless technologies has resulted in increased
data traffic and created demand for additional radio spectrum. This growing demand for …

Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools,
is extensively used to solve critical challenges in various domains. Vehicular ad hoc network …

In recent years, the Internet of Things (IoT) paradigm has gained much popularity due to its
potential ability to integrate the physical world with the digital world. However, this digital …

Spectrum sensing is of crucial importance in cognitive radio (CR) networks. In this paper, a
reliable spectrum sensing scheme is proposed, which uses K‐nearest neighbor, a machine …

Generative Adversarial Networks (GANs) are Machine Learning (ML) algorithms that have
the ability to address competitive resource allocation problems together with detection and …

Deep reinforcement learning has recorded remarkable performance in diverse application
areas of artificial intelligence: pattern recognition, robotics, object segmentation …

For a future scenario where everything is connected, cognitive technology can be used for
spectrum sensing and access, and emerging coding technologies can be used to address …

Cognitive radio network (CRN) is a pioneering technology that was developed to improve
efficiency in spectrum utilization. It provides the secondary users with the privilege to …