Joint Trajectory and Hybrid Beamforming Design for Multi Antenna UAV Enabled Network

In this paper, we investigate the transmission design in a multi antenna unmanned aerial vehicle (UAV)-enabled network, where the flight trajectory and hybrid digital and analog beamforming (BF) of the UAV are jointly designed, for both the fully-connected structure and sub-connected structure. Our goal is to maximize the weighted sum rate for multiply ground users, subject to the transmit power and trajectory constraints. Due to the non-convex property of the formulated problem, we propose to linearize the objective by using a newly Lagrangian dual transform. Then, an alternating optimization (AO) method is proposed, where the digital BF can be obtained by utilizing the bisection search method, while the analog BF and the flight trajectory are handled by the alternating direction of multipliers method (ADMM) algorithm. Finally, simulation results verify the performance of the proposed algorithm.