Federated Learning-Based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems
In this paper, we propose a data-driven framework for collaborative wideband spectrum sensing and scheduling for networked unmanned aerial vehicles (UAVs), which act as secondary users (SUs) to opportunistically utilize detected “spectrum holes”.Our overall framework consists of three main stages.Firstly, in the model training stage,