4 papers
FARM: Foundational Aerial Radio Map for Intelligent Low-Altitude Networking
Shijian Gao, Jiahui Liang, Yifeng Yuan +3
Precise aerial radio environment characterization is vital for low-altitude airspace planning. However, existing datasets and construction methods lack the high-resolution granular…
Scalable Multimodal Beam Alignment in V2X: An Anti-Imbalance Graph Learning Approach
Jiahui Liang, Shuoyao Wang, Shijian Gao
Efficient beam alignment is fundamental to high-throughput and reliable connectivity in Vehicle-to-Everything (V2X) systems. However, conventional beam management in dynamic vehicu…
Relaying Signal When Monitoring Traffic: Double Use of Aerial Vehicles Towards Intelligent Low-Altitude Networking
Jiahui Liang, Wenlihan Lu, Tianyi Liu +5
In intelligent low-altitude networks, integrating monitoring tasks into communication unmanned aerial vehicles (UAVs) can consume resources and increase handoff latency for communi…
Aligning Beam with Imbalanced Multi-modality: A Generative Federated Learning Approach
Jiahui Liang, Miaowen Wen, Shuoyao Wang +2
As vehicle intelligence advances, multi-modal sensing-aided communication emerges as a key enabler for reliable Vehicle-to-Everything (V2X) connectivity through precise environment…