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

2 citations · 4 across the 8 of their papers we have counts for

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9 papers · 1 filter

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

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.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…

eess.SP20242 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.SP20242 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.SP20241 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…