activity
20232026
most citedBUPTCMCC-6G-CMG+: A GBSM-Based ISAC Standard Channel Model Generator

10 citations · 17 across the 27 of their papers we have counts for

collaborators

28 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.…

cs.IT2026

Auto-correlation Function Keying

Weijiang Zhao, Yifeng Xiong, Fan Liu +3

We propose ACFK: Auto-correlation Function Keying, a new integrated sensing and communication (ISAC) waveform that carries random communication data while directly controlling the…

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…

cs.IT2026

Measurement Campaigns, Datasets, and Curve Fitting Officially Used by 3GPP in Release 19 for Channel Modeling in TR 38.901 for 7-24 GHz

Hitesh Poddar, Jianhua Zhang, Ximan Liu +1

This document provides comprehensive details of the Measurement Campaigns, Datasets, and Curve Fitting Officially Used by 3GPP in Release 19 for Channel Modeling in TR 38.901 for 7…

eess.SY2026

A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness

Xiucheng Wang, Yuhao Pan, Nan Cheng +9

Radio maps (RMs) provide the digital representation of the wireless propagation environment, mapping complex geographical and topological boundary conditions to critical spatial-sp…

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 Comprehensive Survey of 3GPP Release 19 ISAC Channel Modeling: From Empirical Features to Unified Methodology and Standardized Simulator

Yameng Liu, Yuxiang Zhang, Jianhua Zhang +17

Integrated Sensing and Communication (ISAC) has been identified as a key 6G application by ITU and 3GPP. Channel measurement and modeling is a prerequisite for ISAC system design a…

eess.SP2025

A Novel Multi-Reference-Point Modeling Framework for Monostatic Background Channel: Toward 3GPP ISAC Standardization

Yameng Liu, Jianhua Zhang, Yuxiang Zhang +7

Integrated Sensing and Communication (ISAC) has been identified as a key 6G application by ITU and 3GPP. A realistic, standard-compatible channel model is essential for ISAC system…

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

Near-Field Propagation and Spatial Non-Stationarity Channel Model for 6-24 GHz (FR3) Extremely Large-Scale MIMO: Adopted by 3GPP for 6G

Huixin Xu, Jianhua Zhang, Pan Tang +12

Next generation cellular deployments are expected to exploit the 6-24 GHz frequency range 3 (FR3) and extremely large-scale multiple-input multiple-output (XL-MIMO) to enable ultra…

eess.SP2025

The Coupling Effect of Sensing Targets on the Environment for 3GPP ISAC Channels: Observation, Modeling, and Validation

Yameng Liu, Jianhua Zhang, Yuxiang Zhang +4

Integrated Sensing And Communication (ISAC) has been identified as a key 6G application by ITU and 3GPP, with standardization efforts already underway. Sensing tasks, such as targe…

eess.SP2025

A Novel Environment Object Modeling Method for Vehicular ISAC Scenarios

Hanyuan Jiang, Yuxiang Zhang, Yameng Liu +3

Integrated Sensing and Communication (ISAC), as a fundamental technology of 6G, empowers Vehicle-to-Everything (V2X) systems with enhanced sensing capabilities. One of its promisin…

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★ 1 cited

Multi-Modal Environmental Sensing Based Path Loss Prediction for V2I Communications

Kai Wang, Li Yu, Jianhua Zhang +3

The stability and reliability of wireless data transmission in vehicular networks face significant challenges due to the high dynamics of path loss caused by the complexity of rapi…

eess.SP2024

New Characteristics and Modeling of 6G Channels: Toward a Unified Channel Model for Standardization

Huiwen Gong, Jianhua Zhang, Yuxiang Zhang +1

As 6G research advances, the growing demand leads to the emergence of novel technologies such as integrated sensing and communication (ISAC), new antenna arrays like extremely larg…

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…