UAV-Enabled Secure Data Dissemination via Artificial Noise: Joint Trajectory and Communication Optimization

This paper studies a single UAV-enabled secure data dissemination system, in which the UAV is employed as an aerial base station to secretly communicate with multiple ground users. To prevent confidential signal intended to scheduled users overhearing by unscheduled ones, artificial noise (AN) is introduced and the UAV transmits a mixture of intended signal and a priori known AN to scheduled user at each time slot. The trajectory and the power splitting factor of UAV as well as the user scheduling are jointly optimized to maximize the minimum average secrecy rate over a finite flight period. To address the non-convexity of the formulated problem, an efficient iterative algorithm is presented based on alternating optimization and successive convex optimization techniques, which can ensure convergence to at least a local optimal solution. Simulation results show significant secrecy gains of the proposed design over benchmark scheme with circular trajectory.