Systems and methods for automated financial settlements for dynamic spectrum sharing

This invention describes a system that listens to radio signals in a specific area to understand how the radio frequency (RF) environment is being used. It learns patterns over time to build a "knowledge map" of the RF landscape, using machine learning to identify new or unexpected signals. The system is specifically designed to manage the allocation and reallocation of RF spectrum in real-time, and crucially, it can determine and provide financial compensation via a smart contract based on the priority of the detected signals.