Resource Allocation and Trajectory Design for UAV-Enabled Wideband Cognitive Radio Networks

Cognitive radio (CR) is promising to improve spectrum efficiency. However, the performance of the secondary users (SUs) is limited due to the channel fading and interference constraints. In order to tackle this issue, unmanned aerial vehicle (UAV)-enabled wideband CR networks are studied. The total average throughput of all SUs is maximized by jointly optimizing the transmit power allocation, the sub-carrier allocation and the trajectory of the UAV. Simulation results demonstrate the efficiency of our proposed resource allocation and the trajectory design scheme in terms of the total average throughput of all SUs compared to the benchmark schemes.