Krayani, A.; Khan, K.; Marcenaro, L.; Marchese, M.; Regazzoni, C. A Goal-Directed Trajectory Planning Using Active Inference in UAV-Assisted Wireless Networks. Sensors2023, 23, 6873.
Krayani, A.; Khan, K.; Marcenaro, L.; Marchese, M.; Regazzoni, C. A Goal-Directed Trajectory Planning Using Active Inference in UAV-Assisted Wireless Networks. Sensors 2023, 23, 6873.
Krayani, A.; Khan, K.; Marcenaro, L.; Marchese, M.; Regazzoni, C. A Goal-Directed Trajectory Planning Using Active Inference in UAV-Assisted Wireless Networks. Sensors2023, 23, 6873.
Krayani, A.; Khan, K.; Marcenaro, L.; Marchese, M.; Regazzoni, C. A Goal-Directed Trajectory Planning Using Active Inference in UAV-Assisted Wireless Networks. Sensors 2023, 23, 6873.
Abstract
Deploying UAVs as aerial base stations is an exceptional approach to reinforce terrestrial infrastructure owing to their remarkable flexibility and superior agility. However, it is essential to design their flight trajectory effectively to make the most of UAV-assisted wireless communications. This paper presents a novel method for improving wireless connectivity between UAVs and terrestrial users through effective path planning. This is achieved by developing a goal-directed trajectory planning method using active inference. First, we create a global dictionary using TSPWP instances executed on various training examples. This dictionary contains letters representing available hotspots, tokens representing local paths, and words depicting complete trajectories and hotspot order. By using this world model, the UAV can understand the TSPWP’s decision-making grammar and how to use the available letters to form tokens and words at various levels of abstraction and time scales. With this knowledge, the UAV can assess encountered situations and deduce optimal routes based on the belief encoded in the world model. Our proposed method outperforms traditional Q-learning by providing fast, stable, and reliable solutions with good generalization ability.
Keywords
UAVs; Wireless Networks; Trajectory Design; AI-enabled Radios; Active Inference
Subject
Engineering, Telecommunications
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
