Bayesian optimization enhanced deep reinforcement learning for trajectory planning and network formation in multi-UAV networks

Bayesian optimization enhanced deep reinforcement learning for trajectory planning and network formation in multi-UAV networks

In this paper, we employ multiple UAVs coordinated by a base station (BS) to help the ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories and network formation to expedite data transmissions via multi-hop relaying. The trajectory planning aims to collect all...

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Bibliographic Details
Main Authors: Gong, Shimin, Wang, Meng, Gu, Bo, Zhang, Wenjie, Hoang, Dinh Thai, Niyato, Dusit
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Trajectory Planning
Bayesian Optimization
Online Access:https://hdl.handle.net/10356/170818

Internet

https://hdl.handle.net/10356/170818

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