The aim of this systematic review was to identify the correlations between spectrum sensing,
clustering algorithms, and energy-harvesting technology for cognitive-radio-based internet …

The rapid advancement of wireless communication combined with insufficient spectrum
exploitation opens the door for the expansion of novel wireless services. Cognitive radio …

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 …

In recent years, artificial intelligence (AI) and machine learning (ML) are reshaping society's
production methods and productivity, and also changing the paradigm of scientific research …

Optimization algorithms have come a long way in the last several decades, with the goal of
reducing energy consumption and minimizing interference with primary users during data …

In recent years, artificial intelligence (AI) and machine learning (ML) are reshaping society's
production methods and productivity, and also changing the paradigm of scientific research …

In this work, a cognitive relay network (CRN) with interference constraint from the primary
user (PU) with a mobile end user is studied. The proposed system model employs a half …

To further solve spectrum congestion and improve spectrum utilization efficiency, we
research a novel integrated radar communication and jamming (IRCJ) system based on a …

Spectrum sensing involves identifying the unused license bands in Cognitive Radio
Networks. Energy Detection (ED) is the most widely studied form of spectrum sensing. ED …

This paper introduces a hybrid cooperative spectrum sensing technique that exploits the
existing diversity between power line and wireless media with the purpose of improving …