From the 2 of 14 linked papers with an AI index.
14 papers
MVLA-GR: A Phase-Free Multipath-Based Geometry Reconstruction Method via Multi-View Likelihood Accumulation for ISAC
Bowei Xing, Yuxiang Zhang, Jianhua Zhang +4
The paper introduces MVLA-GR, a phase‑free method that reconstructs object geometry for integrated sensing and communication by accumulating delay and power information from multip…
DeepRT Engine: A Unified GPU-Parallel Ray-Tracing Framework with Hybrid SBR-IM Path Search for 6G Digital Twin Channel
Tao Wu, Li Yu, Yuxiang Zhang +3
The paper introduces DeepRT Engine, a GPU-parallel ray‑tracing framework that speeds up the creation of real‑time digital twin wireless channels by using a three‑stage pipeline wit…
WiWorld-RealData: A Real-World Multi-Modal Dataset for 6G Wireless World Models
Yinyin Jiao, Huixin Xu, Jianhua Zhang +7
As sixth-generation wireless systems evolve from reliable connectivity toward environment intelligence, wireless world models aim to learn how physical environments and user states…
Ill-Posedness Analysis of CSI-Based Electromagnetic Inverse Scattering for Material Reconstruction in ISAC Systems
Yubin Luo, Li Yu, Takumi Takahashi +4
Channel state information (CSI)-based electromagnetic inverse scattering for material reconstruction in ISAC systems enables physics-grounded, material-aware DT. Yet the resulting…
Electromagnetic Digital Twin-Enabled Closed-Loop Beam Management in ISAC Systems
Yubin Luo, Takumi Takahashi, Li Yu +3
Digital twin (DT) is envisioned as a key enabler of sixth-generation (6G) communication systems, evolving from offline descriptive replicas for monitoring and analysis to inthe-loo…
ChannelAgent-Empowered Electromagnetic Space World Model: A Case Study on Agent-Driven Channel Generation for 6G AI-Native Air Interface
Mingyue Li, Li Yu, Yuxiang Zhang +4
As sixth-generation (6G) wireless networks evolve toward increasingly heterogeneous scenarios, tasks, and service requirements, conventional artificial intelligence (AI) models rem…