Optimization of Spectrum Efficiency in UAV Cognitive Communication Network Based on Trajectory Planning

In order to solve the shortage of spectrum resources and improve the spectrum efficiency (SE) in unmanned aerial vehicle (UAV) cognitive communication network, this paper optimizes the sensing radian and UAV's real-time trajectory from the perspective of time and space resource allocation. Firstly, the sensing radian is optimized to maximize throughput. Secondly, under the constraints of the primary user (PU) interference threshold, the maximum speed of UAV, the initial and terminal positions of UAV, the flight trajectory of UAV is optimized in real time by iteration algorithm to maximize the throughput. Finally, the SE optimization algorithm based on sensing radian allocation and trajectory planning for UAV cognitive communication is proposed. Simulation results show that the proposed algorithm is effective and better than existing schemes.