7 papers · 1 filter
Uncertainty-Guided UAV Spectrum Cartography with Deep-Unfolded Online Tensor Decomposition
Shangjie Zhuang, Jiahui Liang, Shijian Gao
Spectrum cartography is crucial for spectrum-aware resource management in low-altitude networks, where uncrewed aerial vehicles (UAVs) collect spectrum measurements to reconstruct…
Toward Service-Balanced ISAC: From Coupled RAN to De-Coupled RAN
Gangyong Zhu, Linghui Miao, Boyang Ji +8
Sixth-generation (6G) applications require radio access networks (RANs) to support reliable communication and seamless sensing across their operating regions. In coupled RAN deploy…
Sensing While Communicating: Active Online Spectrum Cartography via Air-Ground Cooperation
Shangjie Zhuang, Jiahui Liang, Shijian Gao
Spectrum cartography is crucial for spectrum-aware resource management in low-altitude networks, where uncrewed aerial vehicles (UAVs) collect measurements to reconstruct power spe…
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…
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…
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…