Robust Trajectory and Beamforming Design for Cognitive MISO UAV Networks

Cognitive radio is a promising technology to tackle the spectrum scarcity problem in unmanned aerial vehicle (UAV) communications. A cognitive multiple input single output (MISO) UAV network is studied under the imperfect user location estimation in this letter. The transmission power is minimized by jointly optimizing the robust trajectory and beamforming of the UAV. An iterative algorithm is proposed to address the challenging problem based on our proposed rank-one theorem. Simulation results demonstrate that our proposed scheme is superior to the benchmark scheme in terms of the transmission power.