3 papers
eess.SP2026
Artificial-Intelligence-Assisted Multi-Modal Terahertz Sensing and Environment Reconstruction
Yejian Lyu, Zitong Fang, Zhiqiang Yuan +2
Multi-modal sensing is an important enabler for future environment-aware wireless systems, since a single sensing modality is generally insufficient to provide accurate metric geom…
cs.IT2026
Enabling Large-Scale Channel Sounding for 6G: A Framework for Sparse Sampling and Multipath Component Extraction
Yi Chen, Ming Li, Chong Han
Realizing the 6G vision of artificial intelligence (AI) and integrated sensing and communication (ISAC) critically requires large-scale real-world channel datasets for channel mode…
cs.IT2026
Generative AI-Empowered Semantic Twin Channel Model for ISAC
Yi Chen, Yatao Hu, Ming Li +1
Integrated sensing and communication (ISAC) increasingly exposes a gap in today's channel modeling. Efficient statistical models focus on coarse communication-centric metrics, and…