@article{SHI2025, 
author = {Jia SHI and Zan LI and Wentao SUN and Zixuan BAI and Feng WANG and Tony Q. S. QUEK},
title = {Multi-agent SAC approach aided joint trajectory and power optimization for multi-UAV assisted wireless networks with safety constraints☆},
year = {2025},
journal = {Chinese Journal of Aeronautics},
volume = {38},
number = {10},
keywords = {Unmanned Aerial Vehicle (UAV), Age of Information (AoI), Safety constraint, Trajectory design, Power allocation, Multi-agent worst-case soft actor critic (MA-wcSAC)},
url = {https://www.sciopen.com/article/10.1016/j.cja.2024.103368},
doi = {10.1016/j.cja.2024.103368},
abstract = {Unmanned Aerial Vehicles (UAVs) have demonstrated significant potential as Aerial Base Stations (A-BSs) for providing data services to Ground Users (GUs), attributed to their flexibility, cost-effectiveness, and high likelihood of establishing line-of-sight links. In this article, we formulate the joint power and trajectory optimization problem for a multi-UAV assisted wireless network with no-fly zones constrained, aiming at maximizing the Accumulated Service Data (ASD) of UAVs and minimizing the Average End Age of Information (AEAoI) of GUs. Specifically, this paper proposes the Multi-Agent worst-case Soft Actor Critic (MA-wcSAC) algorithm with a distributional safety-critic. The simulation results demonstrate that, compared to the Multi-Agent Soft Actor Critic (MA-SAC) algorithm, the proposed algorithm exhibits comparable data service performance while reducing security risks by at least 30% at different risk levels.}
}