6 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…
Active Perception for Radio Map Reconstruction in Uncharted 3D Air-Ground Environments
Wenlihan Lu, Miaowen Wen, Shijian Gao
Radio maps provide the essential foundation for low altitude networking systems. Unlike terrestrial radio maps that are typically generated via drive test measurements, mapping the…
TeRFS: Temporal-Evolving Radio Field Synthesis
Pengyang Zhang, Wenlihan Lu, Shijian Gao
While radio-frequency (RF) field synthesis is fundamental to wireless networking, current approaches remain constrained by static assumptions, leaving them unable to track the rapi…
Transfer to Sky: Unveil Low-Altitude Route-Level Radio Maps via Ground Crowdsourced Data
Wenlihan Lu, Huacong Chen, Ruiyang Duan +2
The expansion of the low-altitude economy is contingent on reliable cellular connectivity for unmanned aerial vehicles (UAVs). A key challenge in pre-flight planning is predicting…
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…
Bayesian-Driven Graph Reasoning for Active Radio Map Construction
Wenlihan Lu, Shijian Gao, Miaowen Wen +4
With the emergence of the low-altitude economy, radio maps have become essential for ensuring reliable wireless connectivity to aerial platforms. Autonomous aerial agents are commo…