Abstract: In order to mitigate the adverse effect of blockages of wireless communication in urban scenes, a trajectory optimization and resource allocation algorithm based on full-duplex unmanned aerial vehicle assisted communication system is proposed. A minimum transmission rate of the user is maximized by jointly optimizing user scheduling, flight trajectory, beamforming, base station and unmanned aerial vehicle’s transmit power. To solve this complicated complex non-convex optimization problem, the original problem is decomposed into four sub-problems via the block coordinate descent, which are tackled by introducing the slack variables, successive convex approximation and alternating interference suppression. Simulation results show that the proposed algorithm has a desirable convergence and can effectively improve the minimum transmission rate of the user.

Key words:  unmanned aerial vehicle communication, full duplex, trajectory optimization, beamforming, power allocation