A Joint Optimization Method for Trajectory and Power of Unmanned Aerial Vehicle assisted Over-the-Air Computation
The Unmanned Aerial Vehicle(UAV)assisted over-the-Air Computation(AirComp)system provides an effective solution for the fast aggregation of large-scale and distributed data.In this paper,a joint trajectory planning and power optimization method through UAV-assisted AirComp system is investigated.As a mobile base station,UAV is used to optimize the mean square error of the aggregated data of the AirComp system by adjusting its trajectory and transmitting power of the ground sensors.Under the limitations of UAV trajectory and sensor power,the UAV flight trajectory,the scaling factor and sensor power are jointly optmized to minimize the time-averaged mean square error.Based on the block coordinate descent and successive convex approximation methods,the joint optimization algorithm of UAV flight trajectory and power is proposed.Simulation results verify the performance of the proposed algorithm.