9 papers
Large Wireless Foundation Models: Stronger over Bigger
Xiang Cheng, Boxun Liu, Xuanyu Liu +1
AI-communication integration is widely regarded as a core enabling technology for 6G. Most existing AI-based physical-layer designs rely on task-specific models that are separately…
WiFo-MUD: Wireless Foundation Model for Heterogeneous Multi-User Demodulator
Zonghui Yang, Shijian Gao, Xuesong Cai +2
Multi-user signal demodulation is critical to wireless communications, directly impacting transmission reliability and efficiency. However, existing demodulators underperform in ge…
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…
WiCo-PG: Wireless Channel Foundation Model for Pathloss Map Generation via Synesthesia of Machines
Mingran Sun, Lu Bai, Ziwei Huang +3
A wireless channel foundation model for pathloss map generation (WiCo-PG) via Synesthesia of Machines (SoM) is developed for the first time. Considering sixth-generation (6G) uncre…
WiCo-MG: Wireless Channel Foundation Model for Multipath Generation via Synesthesia of Machines
Zengrui Han, Lu Bai, Xuesong Cai +1
Precise modeling of channel multipath is essential for understanding wireless propagation environments and optimizing communication systems. In particular, sixth-generation (6G) ar…
SynthSoM-Twin: A Multi-Modal Sensing-Communication Digital-Twin Dataset for Sim2Real Transfer via Synesthesia of Machines
Junlong Chen, Ziwei Huang, Xuesong Cai +2
This paper constructs a novel multi-modal sensing-communication digital-twin dataset, named SynthSoM-Twin, which is spatio-temporally consistent with the real world, for Sim2Real t…
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…
LLM4MG: Adapting Large Language Model for Multipath Generation via Synesthesia of Machines
Ziwei Huang, Shiliang Lu, Lu Bai +2
Based on Synesthesia of Machines (SoM), a large language model (LLM) is adapted for multipath generation (LLM4MG) for the first time. Considering a typical sixth-generation (6G) ve…
Multi-Modal Intelligent Channel Modeling Framework for 6G-Enabled Networked Intelligent Systems
Lu Bai, Zengrui Han, Xuesong Cai +1
The design and technology development of 6G-enabled networked intelligent systems needs an accurate real-time channel model as the cornerstone. However, with the new requirements o…