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An unmanned aerial vehicle (UAV)-aided secure communication system isconceived and investigated, where the UAV transmits legitimate information to aground user in the presence of an eavesdropper (Eve). To guarantee thesecurity, the UAV employs a power splitting approach, where its transmit powercan be divided into two parts for transmitting confidential messages andartificial noise (AN), respectively. We aim to maximize the average secrecyrate by jointly optimizing the UAV's trajectory, the transmit power levels andthe corresponding power splitting ratios allocated to different time slotsduring the whole flight time, subject to both the maximum UAV speed constraint,the total mobility energy constraint, the total transmit power constraint, andother related constraints. To efficiently tackle this non-convex optimizationproblem, we propose an iterative algorithm by blending the benefits of theblock coordinate descent (BCD) method, the concave-convex procedure (CCCP) andthe alternating direction method of multipliers (ADMM). Specially, we show thatthe proposed algorithm exhibits very low computational complexity and each ofits updating steps can be formulated in a nearly closed form. Our simulationresults validate the efficiency of the proposed algorithm.

Low-Complexity Joint Power Allocation and Trajectory Design for UAV-Enabled Secure Communications with Power Splitting