collaborators

7 papers

eess.SP2026

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…

cs.NI2026

Dynamic Task and Resource Scheduling Towards Green Space-Air-Ground-Sea Integrated Network

Yufei Ye, Shijian Gao, Xinhu Zheng +1

In the context of 6G ubiquitous connectivity, the space-air-ground-sea integrated network (SAGSIN) emerges as a new paradigm to provide critical services for resource-limited ocean…

eess.SP2026

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM)

Xuanyu Liu, Shijian Gao, Boxun Liu +2

Current learning-based wireless methods struggle with generalization due to the fragmented processing of communication and sensing data. WiFo-MiSAC addresses this as a task-agnosti…

cs.NI2026

Multi-Tier UAV Edge Computing Towards Long-Term Energy Stability for Low Altitude Networks

Yufei Ye, Shijian Gao, Xinhu Zheng +1

The agile mobility of Unmanned Aerial Vehicles (UAVs) makes them ideal for low-altitude edge computing. This paper proposes a novel multi-tier UAV edge computing system where light…

eess.SP2025

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…

eess.SP2025

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…