372 citations · 602 across the 38 of their papers we have counts for
38 papers
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…
New Mid-Band (FR3, 6-24 GHz) XL-MIMO for 6G: Channel Modeling, Algorithm Evaluation, and Field Trials
Haiyang Miao, Jianhua Zhang, Feifei Gao +7
The new mid-band (FR3, 6-24 GHz) spectrum is expected to play an important role in future 6G networks by providing a favorable balance among coverage, capacity, and deployment feas…
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…
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…
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…
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…
A Tutorial on 3GPP Rel-19 Channel Modeling for 6G FR3 (7-24 GHz): From Standard Specification to Simulation Implementation
Pan Tang, Huixin Xu, Jianhua Zhang +6
The upper-mid band (7-24 GHz), designated as Frequency Range 3 (FR3), has emerged as a definitive ``golden band" for 6G networks, strategically balancing the wide coverage of sub-6…
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…
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…
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…
Far-Field vs. Near-Field Propagation Channels: Key Differences and Impact on 6G XL-MIMO Performance Evaluation
Zihang Ding, Jianhua Zhang, Changsheng You +5
Extremely large-scale multiple-input multiple-output (XL-MIMO) is regarded as a promising technology for next-generation communication systems. However, this will expand the near-f…
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…
Theoretical Analysis of Near-Field MIMO Channel Capacity and Mid-Band Experimental Validation
Haiyang Miao, Jianhua Zhang, Pan Tang +3
With the increase of multiple-input-multiple-output (MIMO) array size and carrier frequency, near-field MIMO communications will become crucial in 6G wireless networks. Due to the…
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…
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…
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…
Empirical Study on Near-Field and Spatial Non-Stationarity Modeling for THz XL-MIMO Channel in Indoor Scenario
Huixin Xu, Jianhua Zhang, Pan Tang +5
Terahertz (THz) extremely large-scale MIMO (XL-MIMO) is considered a key enabling technology for 6G and beyond due to its advantages such as wide bandwidth and high beam gain. As t…
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…
Research and Experimental Validation for 3GPP ISAC Channel Modeling Standardization
Yuxiang Zhang, Jianhua Zhang, Jiwei Zhang +5
Integrated Sensing and Communication (ISAC) is considered a key technology in 6G networks. An accurate sensing channel model is crucial for the design and sensing performance evalu…
A Survey of New Mid-Band/FR3 for 6G: Channel Measurement, Characterization and Modeling in Outdoor Environment
Haiyang Miao, Jianhua Zhang, Pan Tang +7
The new mid-band (6-24 GHz) has attracted significant attention from both academia and industry, which is the spectrum with continuous bandwidth that combines the coverage benefits…
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…
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…
Environment Reconstruction with Multi-targets Reflectors-merged Sensing Method Based on THz Single-sided Channel Characteristics
Zhaowei Chang, Pan Tang, Jianhua Zhang +2
Terahertz (THz) integrated sensing and communication (ISAC) holds the potential to achieve high data rates and high-resolution sensing. Reconstructing the propagation environment i…