Oct 17, 2023 · In this paper, we investigated a federated learning based ... phase shifts + FL aggregation weights, forming a RIS-assisted UAV-enabled network ...
Missing: Optimization | Show results with:Optimization
Federated Learning for RIS-Assisted UAV-Enabled Wireless Networks: Learning-Based Optimization for UAV Trajectory, RIS Phase Shifts and Weighted Aggregation.
Federated Learning for RIS-Assisted UAV-Enabled Wireless Networks: Learning-Based Optimization for UAV Trajectory, RIS Phase Shifts and Weighted Aggregation.
Feb 29, 2024 · So, the flexibility of unmanned aerial vehicles (UAVs) can be utilized to reach remote areas [6] and assist terrestrial devices in deploying ...
Missing: RIS- RIS Shifts
2024. Federated Learning for RIS-Assisted UAV-Enabled Wireless Networks: Learning-Based Optimization for UAV Trajectory, RIS Phase Shifts and Weighted ...
In recent years, unmanned aerial vehicles (UAVs) have become a valuable platform for many applications, including communication networks. UAV-enabled ...
Missing: Federated Aggregation.
RIS-Assisted UAV-Enabled JSAC System: Joint Radio Resource and Phase Shift Optimization Framework. Yan Kyaw Tun and György Dán (KTH Royal Institute of ...
Apr 22, 2024 · Learning Based Dynamic Resource Allocation in UAV-assisted Mobile Crowdsensing Networks Wenshuai Liu and Yuzhi Zhou (Hong Kong Metropolitan ...
16:00 ‑ 16:30 ; 16:30 ‑ 18:00. AC-4: Resource Allocation and Scheduling in UAVs. CCNS-2: Federated Learning CISS-10: Network Security CISS-9: Physical Layer ...
Apr 18, 2024 · ... RIS-assisted UAV-enabled network that achieves an autonomous self-optimisation! Practicality issues such as realistic RIS phase shifts model ...