The Optimization of AoI and Energy for Multi-UAV Assisted Communication System

• 1、School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876

Abstract：Due to the high mobility of UAV, it is a promising option to use in emergency communication system.The Age ofInformation (AoI) and energy optimisation problem in multiple UAV-assisted emergency communication scenario is studied in this paper. The system consists of two UAVs, multiple ground devices and a command centre, with one UAV acting as a flying relay and transmitting data to the command centre, and one UAV wirelessly charging the ground devices. By optimising the flight trajectories of the UAVs, the scheduling of the ground devices, and the transmit power, we achieve the minimum AoI of the data, the optimal energy transmission. The optimisation problem is converted into a Markov Decision Process (MDP), and then the optimal strategy is solved by a multi-agentdeep reinforcement learning algorithm. Simulation results demonstrate the convergence of the MAD3QN and the effectiveness of the optimisation scheme, which ensures the reduction of the AoI of the system while enhancing the energy transmission.

Keywords： uav communication age of information energy transmission deep reinforcement learning