Wireless powered communication network（WPCN）is a new type of communication network which can prolong the lifetime of traditional wireless sensor networks（WSNs）

employ unmanned aerial vehicle（UAV）to carry base station so as to overcome the ‘doubly near-far’ problem.A WPCN consists of a mobile base station carried by UAV and multiple ground users.Subject satisfact of the minimum communication rates of nodes

a jointly optimization of the UAV flight trajectory

flight acceleration

transmitting power of RF energy wave

information transmission power of node and band width allocation of node is proposed to minimize the total energy consuming of the system.To deal with the formulated non-convex problem

a self-iterative optimization algorithm based on successive convex approximation（SCA）technique is proposed

based on the block coordinate descent idea.Simulation results show that the proposed algorithm converges after finite iterations and significantly improves the system performance over the traditional solution of WPCN.