154 citations · 238 across the 15 of their papers we have counts for
15 papers
Clutter Suppression, Time-Frequency Synchronization, and Sensing Parameter Association in Asynchronous Perceptive Vehicular Networks
Xiao-Yang Wang, Shaoshi Yang, Jianhua Zhang +2
Significant challenges remain for realizing precise positioning and velocity estimation in perceptive vehicular networks (PVN) enabled by the emerging integrated sensing and commun…
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…
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…
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…
Joint Sparsity Pattern Learning Based Channel Estimation for Massive MIMO-OTFS Systems
Kuo Meng, Shaoshi Yang, Xiao-Yang Wang +4
We propose a channel estimation scheme based on joint sparsity pattern learning (JSPL) for massive multi-input multi-output (MIMO) orthogonal time-frequency-space (OTFS) modulation…
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…