2 citations · 3 across the 5 of their papers we have counts for
4 papers
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…
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…
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…
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…