NOMA Enhanced UAV-Assisted Communication System With Nonlinear Energy Harvesting

This work investigates the performance of a laser-powered unmanned aerial vehicle (UAV) based hybrid wireless network consisting UAV-mounted base station (UAV-BS), cellular user, low-power IoT and secondary group multiple devices. Communication among these devices takes place in two different phases. In first phase transmission, UAV-BS fulfills its power requirements by harvesting from distributed laser charging-based transfer uses non-orthogonal access (NOMA) signaling to transmit information both users. Further, second user harvests using power-splitting (PS) protocol it communicate with selected device, signal interference-plus-noise ratio selection strategy network, while transmits uplink UAV-BS. We discuss effect non-linear energy on Next, we analyze proposed system deriving closed-form expressions outage probabilities, throughput, ergodic capacity users, Furthermore, find optimal values coefficient target rates that maximize throughput attaining desired for user. also demonstrate judicious choice allocation is essential order sum hence efficiency. Simulation results verify accuracy derived validate effectiveness algorithms.