Poster Abstract: Iterative Trajectory Optimization for Dual-UAV Secure Communications

Unmanned aerial vehicles (UAVs) have been widely applied in the field of wireless communication. However, due to the inherent broadcasting characteristics of wireless media, the realization of ground to UAV communication still faces many challenges when there are eavesdroppers on the ground. We consider a new scenario where a jammer UAV tends to interfere with the eavesdroppers to guarantee secrecy performance. Then, the flight trajectory of UAV is optimized to obtain the maximized average secrecy rate. The optimization problem we proposed is non-convex and it's very complicated. To solve this problem, we optimize the increment of UAV trajectory iteration and the non-convex optimization problem is decomposed into the convex problem of each iteration. The feasibility of this method is verified by numerical simulation.