2 citations · 8 across the 24 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
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…