  The ever-evolving internet of things (IoT) has led to the growth of numerous
wireless sensors, communicating through the internet infrastructure. When
designing a network using these sensors, one critical aspect is the longevity
and self-sustainability of these devices. For extending the lifetime of these
sensors, radio frequency energy harvesting (RFEH) technology has proved to be
promising. In this paper, we propose CURE, a novel framework for RFEH that
effectively combines the benefits of cell-free massive MIMO (CFmMIMO), unmanned
aerial vehicles (UAVs), and reconfigurable intelligent surfaces (RISs) to
provide seamless energy harvesting to IoT devices. We consider UAV as an access
point (AP) in the CFmMIMO framework. To enhance the signal strength of the RFEH
and information transfer, we leverage RISs owing to their passive reflection
capability. Based on an extensive simulation, we validate our framework's
performance by comparing the max-min fairness (MMF) algorithm for the amount of
harvested energy.
