activity
20222026
most citedWireless Environment Information Sensing, Feature, Semantic, and Knowledge: Four Steps Towards 6G AI-Enabled Air Interface

2 citations · 8 across the 24 of their papers we have counts for

collaborators

25 papers

eess.SP2026

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…

eess.SP2026

MVLA-GR: A Phase-Free Multipath-Based Geometry Reconstruction Method via Multi-View Likelihood Accumulation for ISAC

Bowei Xing, Yuxiang Zhang, Jianhua Zhang +4

Integrated sensing and communication (ISAC) enables wireless systems to reuse communication signals for environmental sensing, where reconstructing the geometry of surrounding obje…

eess.SP2026

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.…

eess.SP2026

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…

eess.SP2026

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…

eess.SP2026

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…

eess.SP2026

Paradigm Shift from Statistical Channel Modeling to Digital Twin Prediction: An Environment-Generalizable ChannelLM for 6G AI-enabled Air Interface

Yichen Cai, Yuelong Qiu, Jianhua Zhang +4

As 6G advances, ubiquitous connectivity and higher capacity requirements of the air interface pose substantial challenges for accurate and real-time wireless channel acquisition in…

eess.SP2026

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…

eess.SP2025

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…

eess.SP2025

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…

cs.AI2025

Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application

Tongjie Li, Jianhua Zhang, Li Yu +4

Emerging applications such as holographic communication, autonomous driving, and the industrial Internet of Things impose stringent requirements on flexible, low-latency, and relia…

eess.SP2025

Multi-Modal Large Models Based Beam Prediction: An Example Empowered by DeepSeek

Yizhu Zhao, Li Yu, Lianzheng Shi +2

Beam prediction is an effective approach to reduce training overhead in massive multiple-input multiple-output (MIMO) systems. However, existing beam prediction models still exhibi…

eess.SP2025

A Unified RCS Modeling of Typical Targets for 3GPP ISAC Channel Standardization and Experimental Analysis

Yuxiang Zhang, Jianhua Zhang, Xidong Hu +9

Accurate radar cross section (RCS) modeling is crucial for characterizing target scattering and improving the precision of Integrated Sensing and Communication (ISAC) channel model…

eess.SP2025

A Unified Deterministic Channel Model for Multi-Type RIS with Reflective, Transmissive, and Polarization Operations

Yuxiang Zhang, Jianhua Zhang, Zhengfu Zhou +7

Reconfigurable Intelligent Surface (RIS) technologies have been considered as a promising enabler for 6G, enabling advantageous control of electromagnetic (EM) propagation. RIS can…

eess.SP2025★ 1 cited

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…

eess.SP2024★ 2 cited

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…

eess.SP2024

BUPTCMCC-6G-DataAI+: A generative channel dataset for 6G AI air interface research

Li Yu, Jianhua Zhang, Mingjun Fu +1

In September 2024, Beijing University of Posts and Telecommunications and China Mobile Communications Group jointly releases a channel dataset for the sixth generation (6G) mobile…

eess.SP2024★ 2 cited

Wireless Environment Information Sensing, Feature, Semantic, and Knowledge: Four Steps Towards 6G AI-Enabled Air Interface

Jianhua Zhang, Yichen Cai, Li Yu +6

The air interface technology plays a crucial role in optimizing the communication quality for users. To address the challenges brought by the radio channel variations to air interf…

eess.SP2024★ 1 cited

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…

eess.SP2024

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…

eess.SP2024★ 1 cited

Digital Twin Channel for 6G: Concepts, Architectures and Potential Applications

Heng Wang, Jianhua Zhang, Gaofeng Nie +5

Digital twin channel (DTC) is the real-time mapping of a wireless channel from the physical world to the digital world, which is expected to provide significant performance enhance…

cs.IT2023

A Wideband MIMO Channel Model for Aerial Intelligent Reflecting Surface-Assisted Wireless Communications

Shaoyi Liu, Nan Ma, Yaning Chen +2

Compared to traditional intelligent reflecting surfaces(IRS), aerial IRS (AIRS) has unique advantages, such as more flexible deployment and wider service coverage. However, modelin…

eess.SP2023★ 1 cited

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…

eess.SP2022

How to Define the Propagation Environment Semantics and Its Application in Scatterer-Based Beam Prediction

Yutong Sun, Jianhua Zhang, Li Yu +2

In view of the propagation environment directly determining the channel fading, the application tasks can also be solved with the aid of the environment information. Inspired by ta…