Federated Learning for RIS-Assisted UAV-Enabled Wireless Networks: Learning-Based Optimization for UAV Trajectory, RIS Phase Shifts and Weighted Aggregation

C Huang, G Chen, P Xiao, D Mi… - IECON 2023-49th …, 2023 - ieeexplore.ieee.org
This paper investigates a learning-based approach autonomously and jointly optimizing the
trajectory of unmanned aerial vehicle (UAV), phase shifts of reconfigurable intelligent …

[PDF][PDF] Federated Learning for RIS-Assisted UAV-Enabled Wireless Networks: Learning-Based Optimization for UAV Trajectory, RIS Phase Shifts and Weighted …

C Huang, G Chen, P Xiao, D Mi, Y Zhang, H Tang, C Lu… - openresearch.surrey.ac.uk
This paper investigates a learning-based approach autonomously and jointly optimizing the
trajectory of unmanned aerial vehicle (UAV), phase shifts of reconfigurable intelligent …

[PDF][PDF] Federated Learning for RIS-Assisted UAV-Enabled Wireless Networks: Learning-Based Optimization for UAV Trajectory, RIS Phase Shifts and Weighted …

C Huang, G Chen, P Xiao, D Mi, Y Zhang, H Tang, C Lu… - researchgate.net
This paper investigates a learning-based approach autonomously and jointly optimizing the
trajectory of unmanned aerial vehicle (UAV), phase shifts of reconfigurable intelligent …

Federated Learning for RIS-Assisted UAV-Enabled Wireless Networks: Learning-Based Optimization for UAV Trajectory, RIS Phase Shifts and Weighted Aggregation

C Huang, G Chen, P Xiao, D Mi, Y Zhang… - IECON 2023-49th … - openresearch.surrey.ac.uk
This paper investigates a learning-based approach autonomously and jointly optimizing the
trajectory of unmanned aerial vehicle (UAV), phase shifts of reconfigurable intelligent …