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Jianhua Mo

3 papers indexed

arxivcs.CVeess.SP2026-07-24

Low-Altitude Channel Multipath Prediction via Panoramic Perception and Vision-Language Model

Zihang Zeng, Shu Sun, Meixia Tao, Zhiyong Chen, Jianhua Mo, Xiangwen Gu

Unmanned aerial vehicle (UAV) communication is expected to support a wide range of low-altitude applications in 6G mobile networks. However, traditional statistical channel models provide limited accuracy in specific environments, while deterministic methods such as ray tracing u…

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arxiveess.SP2026-07-15

M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing

Pengxuan Gao, Kai Ying, Botao Wu, Jianhua Mo, Qingsong Wen

Low-altitude unmanned aerial vehicles (UAVs) are emerging as key platforms for wireless intelligence tasks. However, practical low-altitude wireless systems usually operate in complex urban environments, where visual occlusion, sparse geometric observations, multipath propagation…

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arxiveess.SP2026-07-04

LAMBDA: A Low-Altitude Multimodal Base Dataset for UAV Sensing and Communication

Lin Zhou, Peichuan Rao, Chenshuo Zhang, Jianhua Mo, Shu Sun, Zhiyong Chen, et al.

Research on low-altitude integrated sensing and communication (ISAC) requires aligned multimodal data that jointly describe wireless propagation, visual appearance, unmanned aerial vehicle (UAV) motion, light detection and ranging (LiDAR) perception, and radar sensing under commo…

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