Summary
This project investigates market-driven spectrum access and management approaches that leverage artificial intelligence (AI) to enhance radio spectrum allocation, sensing, and market optimization. The work facilitates evolution from current radio spectrum management strategies to more dynamic and efficient methods, thereby increasing the overall utility and efficiency of the radio spectrum which is a key resource for all sectors of modern society. The new approaches investigated in this project rely on private sector band managers, who dynamically allocate spectrum resources while ensuring com
