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Unmanned aerial vehicles (UAVs) are anticipated to be widely deployed infuture wireless communications, due to their advantages of high mobility andeasy deployment. However, the broadcast nature of air-to-ground line-of-sightwireless chan- nels brings a new challenge to the information security of UAV-ground communication. This paper tackles such a challenge in the physical layerby exploiting the mobility of UAV via its trajectory design. We consider aUAV-ground communication system with multiple potential eavesdroppers on theground, where the information on the locations of the eavesdroppers isimperfect. We formulate an optimization problem which maximizes the averageworst-case secrecy rate of the system by jointly designing the robusttrajectory and transmit power of the UAV over a given flight duration. Thenon-convexity of the optimization problem and the imperfect locationinformation of the eavesdroppers make the problem difficult to be solvedoptimally. We propose an iterative suboptimal algorithm to solve this problemefficiently by applying the block coordinate descent method, S-procedure, andsuccessive convex optimization method. Simulation results show that theproposed algorithm can improve the average worst-case secrecy ratesignificantly, as compared to two other benchmark algorithms without robustdesign.

Robust Trajectory and Transmit Power Design for Secure UAV Communications