Abstract: Due to the complex communication environment, the link between User Equipment (UE) and Unmanned Aerial Vehicle (UAV) is easily blocked and the communication quality is poor. An intelligent reflector surface (IRS) is proposed to reconstruct the communication environment and enhance the performance of UAV mobile edge computing network. Considering the constraints of equipment energy consumption and computing power, the user task data is maximized by jointly optimizing intelligent reflector movement control, UAV flight trajectory, transmission power and time slot division. The above highly complex nonconvex problems are divided into three sub-problems. Firstly, the closed-form solution of intelligent reflector surface shift is derived. Then, the relaxation variable, first-order Taylor expression and successive convex approximation technique are introduced to transform the original problem into two approximate convex problems, namely transmission power, slot division and trajectory optimization. Finally, the iterative solution is based on the block coordinate descent method. The simulation results show that compared with the traditional UAV moving edge calculation, the proposed intelligent reflector assisted UAV moving edge calculation can effectively improve the amount of mission data.

Key words: Unmanned Aerial Vehicle, intelligent reflector surface, mobile edge computing, trajectory optimization, resource management