21 papers
WiFo-INR: A Wireless Foundation Model Based on Implicit Neural Representations
Boxun Liu, Xuanyu Liu, Shijian Gao +2
Wireless foundation models are emerging as a promising paradigm for AI-native physical-layer design. However, existing methods typically model channel state information (CSI) as im…
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…
Sequential Task Assignment and Resource Allocation in V2X-Enabled Mobile Edge Computing
Yufei Ye, Shijian Gao, Xinhu Zheng +1
Nowadays, the convergence of mobile edge computing (MEC) and vehicular networks has emerged as a vital enabler for the ever-increasing intelligent onboard applications. This paper…
WiFo-2: a generalist foundation model unifies heterogeneous wireless system design
Boxun Liu, Xuanyu Liu, Shijian Gao +3
Emerging sixth-generation wireless systems are increasingly heterogeneous, with compatibility across diverse configurations, ubiquitous coverage, and expanded functionalities. Alth…
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…
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…