Anti-Jamming Trajectory and Power Design for Cognitive UAV Communications

This paper studies the anti-jamming issue for cognitive unmanned aerial vehicle (UAV) communication networks. We aim to maximize the throughput of information collection in sensitive areas or unmanned areas of military borders by optimizing the UAV trajectory and the secondary transmitters (STs)' transmit power, in the presence of malicious jammers with imperfect location information. However, the optimization problem is challenging to solve due to the non-convexity. To overcome this difficulty, we propose a throughput maximization algorithm with the aid of block coordinate descent (BCD) method, successive convex approximation (SCA) technique, and S-procedure. Numerical results show that our proposed algorithm significantly improves the system throughput compared with the benchmark algorithms, and simultaneously achieves effective anti-jamming.