Trajectory Planning for UAV-Assisted Full-Duplex OWC Systems
We developed an unmanned aerial vehicle assisted full duplex optical wireless communication system and further proposed a trajectory planning method using deep reinforcement learning. The proposed scheme achieves a trade-off between capacity improvement and fairness. © 2024 The Author(s)
Authors
- Xinke Tang (ORCID: https://orcid.org/0000-0002-5653-6096)
- Xiao–Ping Zhang (ORCID: https://orcid.org/0000-0001-5241-0069)
- Yuhan Dong (ORCID: https://orcid.org/0000-0001-5275-1787)
- Jiawei Hu
Institutions
- University Town of Shenzhen (CN)
- Peng Cheng Laboratory (CN)
- Tsinghua University (CN)
Publication Details
- Published
- 2024-08-04
- DOI
- https://doi.org/10.1109/cleo-pr60912.2024.10676670
- Primary Topic
- Air Traffic Management and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00