Artificial Intelligence Application to Cognitive Radio Networks
Badr Benmammar, Asma Amraoui · 2021
For flexible access to the spectrum, Mitola and Maguire introduced cognitive radio (CR) relying on software-defined radio. Software-defined radio is a radio that can realize in software form the typical functions of the radio interface generally realized in a hardware form, such as the carrier frequency, signal bandwidth and modulation. Indeed, Mitola and Maguire combined their software-defined radio experiences, as well as their passions for machine learning and artificial intelligence (AI) to set up CR technology. This chapter focuses on the AI techniques that were most commonly used during the last three years in CR. It presents the cognition cycle, the main CR tasks and their corresponding challenges. The chapter offers a state-of-the-art on the application of AI methods to CR. It proposes a categorization of the techniques presented depending on the type of learning (supervised or unsupervised) and presents their applications depending on the CR tasks.