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 networks challenge the traditional wireless networking paradigm by
introducing concepts firmly stemmed into the Artificial Intelligence (AI) field, ie, learning and …

Cognitive radios are expected to play a major role towards meeting the exploding traffic
demand over wireless systems. A cognitive radio node senses the environment, analyzes …

Cognitive radio (CR) is considered as a key enabling technology for dynamic spectrum
access to improve spectrum efficiency. Although the CR concept was invented with the core …

The 13 articles in this special section focus on artificial intelligence and cognitive wireless
communications. With the rapid development of wireless communication and networking …

This article first briefly reviews the basic concepts about cognitive radio (CR) technology and
CR-enabled cognitive wireless communications, and then discusses the differentiating …

The cognitive radio (CR) paradigm for designing next‐generation wireless communications
systems is becoming increasingly popular, and different aspects of it are being implemented …

This cutting-edge resource offers practical overview of cognitive radio, a paradigm for
wireless communications in which a network or a wireless node changes its transmission or …

In this paper, we present a survey on the utility of machine learning (ML) algorithms for
applications in cognitive radio networks (CRN). We start with a high-level overview of some …

Due to exponential growth in demand for radio spectrum for wireless communication
networking, the radio spectrum has become over-crowded. The fixed spectrum allocation …