2 citations · 8 across the 6 of their papers we have counts for
6 papers
Semantic-driven Wireless Environment Knowledge Representation for Efficiency-Accuracy Balanced Beam Prediction in Vehicular Networks
Jialin Wang, Jianhua Zhang, Yu Li +2
The rapid evolution of the internet of vehicles demands ultra-reliable low-latency communication in high-mobility environments, where conventional beam prediction methods suffer fr…
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…
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…
Electromagnetic Wave Property Inspired Radio Environment Knowledge Construction and AI-based Verification for 6G Digital Twin Channel
Jialin Wang, Jianhua Zhang, Yutong Sun +3
As the underlying foundation of a digital twin network (DTN), a digital twin channel (DTC) can accurately depict the process of radio propagation in the air interface to support th…
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…
Towards 6G Digital Twin Channel Using Radio Environment Knowledge Pool
Jialin Wang, Jianhua Zhang, Yuxiang Zhang +6
The digital twin channel (DTC) is crucial for 6G wireless autonomous networks as it replicates the wireless channel fading states in 6G air interface transmissions. It is well know…