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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Yu-Feng Wang

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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
2026

IDTD-RL: An Intelligent Dual-Track Defense Risk-Sensitive Reinforcement Learning Framework for Anti-Spoofing in UAV Communications

Intelligent spoofing poses a critical threat to unmanned aerial vehicle (UAV) communications by corrupting synchronization and channel estimation while evading power-based detection. This paper presents IDTD-RL, a risk-sensitive reinforcement learning framework for adaptive anti-spoofing defense in OFDM-based UAV syste...

Hang Zhang, Wen-Rui Ding, Yu-Feng Wang et al. · 1 citation
Preprint Aug 2026

GAAT: Geometry-Aware Alignment Transformer for Multimodal UAV Perception

GAAT (Geometry-Aware Alignment Transformer), an alignment-first pretrained model that estimates local correspondence reliability before cross-modal interaction, is proposed and introduced, establishing GAAT as a state-of-the-art multimodal foundation model for UAV perception.

Jing-Pu Yang, Deming Tang, Yi-Lin Sun et al. · 1 citation

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