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 …

Deep learning has been proven to be a powerful tool for addressing the most significant
issues in cognitive radio networks, such as spectrum sensing, spectrum sharing, resource …

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 …

The emergence of the Internet of Things (IoT) has triggered a massive digital transformation
across numerous sectors. This transformation requires efficient wireless communication and …

Recently, the chaotic compressive sensing paradigm has been widely used in many areas,
due to its ability to reduce data acquisition time with high security. For cognitive radio …

Wireless communication demands rapidly increase due to the increase of Internet of Things
applications, which leads researchers to build secondary networks that exploit the spectrum …

Because of numerous dormant application fields, wireless sensor networks (WSNs) have
emerged as an important and novel area in radio and mobile computing research. These …

Cognitive radio (CR) is a leading candidate for addressing spectrum constraints and is a key
component of fifth-generation (5G) communications. For optimum usage of accessible …

Cooperative networks have been proposed as an efficient solution to improve the detection
capability of a cognitive radio system. This type of networks is highly vulnerable to different …

Cognitive radio innovation could be able to alleviate the limitation of accessible radio
spectrum by facilitating dynamic spectrum access. Analysts have indeed been focusing on …