9 papers
Joint CFO-Channel Estimation under Strong Inter-Cell Interference for Low-Altitude Radio Mapping
Bowen Li, Haotian Zhang, Mu Jia +2
Extending terrestrial networks into low-altitude airspace is a practical way to support aerial services, and accurate low-altitude radio maps are essential for characterizing terre…
WiFo-M: Empower Wireless Communications With Plug-and-Play Environment Sensing via Foundation Model
Haotian Zhang, Shijian Gao, Xiang Cheng
The emerging convergence of next-generation wireless networks and agentic artificial intelligence (AI) is inspiring a new vision: embodied intelligent network entities utilize envi…
Synesthesia of Machines (SoM)-Aided Online FDD Precoding via Heterogeneous Multi-Modal Sensing: A Vertical Federated Learning Approach
Haotian Zhang, Shijian Gao, Weibo Wen +2
This paper investigates a heterogeneous multi-vehicle, multi-modal sensing (H-MVMM) aided online precoding problem. The proposed H-MVMM scheme utilizes a vertical federated learnin…
Tiny-WiFo: A Lightweight Wireless Foundation Model for Channel Prediction via Multi-Component Adaptive Knowledge Distillation
Haotian Zhang, Shijian Gao, Xiang Cheng
The massive scale of Wireless Foundation Models (FMs) hinders their real-time deployment on edge devices. This letter moves beyond standard knowledge distillation by introducing a…
WiFo-E: A Scalable Wireless Foundation Model for End-to-End FDD Precoding in Communication Networks
Weibo Wen, Shijian Gao, Haotian Zhang +2
Accurate precoding in massive multiple-input multiple-output (MIMO) frequency-division duplexing (FDD) systems relies on efficient channel state information (CSI) acquisition. End-…
Embodied Intelligent Wireless (EIW): Synesthesia of Machines Empowered Wireless Communications
Xiang Cheng, Weibo Wen, Haotian Zhang +4
The evolution toward the sixth-generation (6G) and beyond mobile communication systems is marked by a fundamental shift from merely connecting devices to enabling pervasive and emb…