Robust Secure UAV-enabled Multiple User Communication with Fairness Consideration

In this paper, we investigate secure UAV communications considering the estimation error for eavesdroppers position information and user service fairness requirement. The average worst-case secrecy rate is intentionally maximized by optimizing the UAV's trajectory and transmit power, and the legitimate ground users scheduling jointly, subject to the UAV's mobility and transmit power constraints, and the user scheduling and fairness constraints. An iterative algorithm based on the block coordinate descent (BCD) method and successive convex approximation (SCA) technique is proposed. Simulation results show that our proposed algorithm can provide joint trajectory, transmit power and user scheduling design under fairness consideration.