Intelligent Cognitive Radio Architecture Applying Machine Learning and Reconfigurability
Jari Nurmi, Darshika G. Perera · 2021
This paper presents a cognitive radio architecture incorporating machine learning into its cognition engine. Both the cognition engine and the software-defined transmitter and receiver chains make use of reconfigurable technologies to enable adaptation to the radio operating environment.