31 citations · 44 across the 20 of their papers we have counts for
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Electromagnetic World Model for 6G: A Unified Framework for Joint Environment Reconstruction and Channel Prediction
Yizhu Zhao, Li Yu, Jianhua Zhang +3
The integration of sensing, communication, and intelligence is becoming a key enabler for sixth generation (6G) wireless systems, where intelligent terminals are expected to simult…
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
Digital twin channel (DTC) aims to establish a real-time digital counterpart of physical wireless channels for reproducing and predicting site-specific propagation characteristics.…
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…
Semantic-driven Wireless Environment Knowledge Representation for Efficiency-Accuracy Balanced Beam Prediction in Vehicular Networks
Jialin Wang, Jianhua Zhang, Yu Li +2
The rapid evolution of the internet of vehicles demands ultra-reliable low-latency communication in high-mobility environments, where conventional beam prediction methods suffer fr…
A Robust CSI-Based Scatterer Geometric Reconstruction Method for 6G ISAC System
Yubin Luo, Li Yu, Tao Wu +2
Digital twin (DT) is a core enabler of sixth generation (6G) mobile systems. As a prerequisite for DT, scatterer geometric reconstruction (SGR) in propagation environments is essen…
Digital Twin Channel-Aided CSI Prediction: An Environment-Based Subspace Extraction Approach for Achieving Low Overhead and High Robustness
Yichen Cai, Jianhua Zhang, Li Yu +5
To meet the robust and high-speed communication requirements of the sixth-generation (6G) mobile communication system in complex scenarios, sensing- and artificial intelligence (AI…
Road to 6G Digital Twin Networks: Multi-Task Adaptive Ray-Tracing as a Key Enabler
Li Yu, Yinghe Miao, Jianhua Zhang +3
As a virtual, synchronized replica of physical network, the digital twin network (DTN) is envisioned to sense, predict, optimize and manage the intricate wireless technologies and…
ChannelGPT: A Large Model to Generate Digital Twin Channel for 6G Environment Intelligence
Li Yu, Lianzheng Shi, Jianhua Zhang +4
6G is envisaged to provide multimodal sensing, pervasive intelligence, global coverage, global coverage, etc., which poses extreme intricacy and new challenges to the network desig…
Can Wireless Environmental Information Decrease Pilot Overhead: A CSI Prediction Example
Lianzheng Shi, Jianhua Zhang, Li Yu +4
Channel state information (CSI) is crucial for massive multi-input multi-output (MIMO) system. As the antenna scale increases, acquiring CSI results in significantly higher system…
An Approximate Wave-Number Domain Expression for Near-Field XL-array Channel
Hongbo Xing, Yuxiang Zhang, Jianhua Zhang +3
As Extremely large-scale array (XL-array) technology advances and carrier frequency rises, the near-field effects in communication are intensifying. In near-field conditions, chann…
An Enhanced Dynamic Ray Tracing Architecture for Channel Prediction Based on Multipath Bidirectional Geometry and Field Extrapolation
Yinghe Miao, Li Yu, Yuxiang Zhang +2
With the development of sixth generation (6G) networks toward digitalization and intelligentization of communications, rapid and precise channel prediction is crucial for the netwo…
Towards 6G Digital Twin Channel Using Radio Environment Knowledge Pool
Jialin Wang, Jianhua Zhang, Yuxiang Zhang +6
The digital twin channel (DTC) is crucial for 6G wireless autonomous networks as it replicates the wireless channel fading states in 6G air interface transmissions. It is well know…
How to Extend 3D GBSM to Integrated Sensing and Communication Channel with Sharing Feature?
Yameng Liu, Jianhua Zhang, Yuxiang Zhang +3
Integrated Sensing and Communication (ISAC) is a promising technology in 6G systems. The existing 3D Geometry-Based Stochastic Model (GBSM), as standardized for 5G systems, address…
DataAI-6G: A System Parameters Configurable Channel Dataset for AI-6G Research
Zibing Shen, Jianhua Zhang, Li Yu +3
With the acceleration of the commercialization of fifth generation (5G) mobile communication technology and the research for 6G communication systems, the communication system has…
6G Channel Modeling: Requirement, Measurement, Methodology and Simulator
Jianhua Zhang, Jiaxin Lin, Pan Tang +14
Sixth-generation (6G) mobile communications have attracted substantial attention in the global research community of information and communication technologies (ICTs). 6G systems a…
How to Extend 3D GBSM to RIS Cascade Channel with Non-ideal Phase Modulation?
Huiwen Gong, Jianhua Zhang, Yuxiang Zhang +2
Reconfigurable intelligent surface (RIS) is envisioned as a promising technology for next-generation wireless communications. Its deployment introduces a RIS cascade link between t…
Capacity Analysis of Holographic MIMO Channels with Practical Constraints
Yuan Zhang, Jianhua Zhang, Yuxiang Zhang +2
Holographic Multiple-Input and Multiple-Output (MIMO) is envisioned as a promising technology to realize unprecedented spectral efficiency by integrating a large number of antennas…
A Shared Cluster-based Stochastic Channel Model for Integrated Sensing and Communication Systems
Yameng Liu, Jianhua Zhang, Yuxiang Zhang +2
Integrated Sensing And Communication (ISAC) has been recognized as a promising technology in the 6G communication. A realistic channel model is a prerequisite for designing ISAC sy…
Adversarial Training-Aided Time-Varying Channel Prediction for TDD/FDD Systems
Zhen Zhang, Yuxiang Zhang, Jianhua Zhang +1
In this paper, a time-varying channel prediction method based on conditional generative adversarial network (CPcGAN) is proposed for time division duplexing/frequency division dupl…