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Fu-Yuan Ma

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#reinforcement learning Open access Oct 2026

Measurement-in-the-Loop Reinforcement Learning for Regional UAV Communication Enhancement

This paper investigates a measurement-driven rotary-wing unmanned aerial vehicle (UAV)-enabled wireless communication system serving multiple ground users. Unlike conventional studies relying on simplified theoretical channel models, we derive the air-to-ground (A2G) path loss and shadow-fading models from software-def...

Shu-Tong Wang, Zhen-Chen Liu, Fu-Yuan Ma et al. · 0 citations
Open access Sep 2026

Measurement-Driven Path-Loss Modeling for Low-Altitude UAV Air-to-Ground Links Using Physics-Aware Ensemble Learning and Calibrated Uncertainty

Air-to-ground (A2G) channel modeling supports low-altitude wireless networks for unmanned aerial vehicle (UAV) services in 5G/6G systems. Existing data-driven models are often benchmarked against weak empirical baselines, decoupled from the underlying measurement campaigns, and prone to overfitting on small UAV dataset...

Fu-Yuan Ma, Wen-Rui Ding, Shu-Tong Wang et al. · 0 citations

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