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…
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…
How to Extend 3D GBSM to Integrated Sensing and Communication Channel with Sharing Feature?
Yameng Liu, Jianhua Zhang, Yuxiang Zhang +3
Integrated Sensing and Communication (ISAC) is a promising technology in 6G systems. The existing 3D Geometry-Based Stochastic Model (GBSM), as standardized for 5G systems, address…
DataAI-6G: A System Parameters Configurable Channel Dataset for AI-6G Research
Zibing Shen, Jianhua Zhang, Li Yu +3
With the acceleration of the commercialization of fifth generation (5G) mobile communication technology and the research for 6G communication systems, the communication system has…
How to Extend 3D GBSM to RIS Cascade Channel with Non-ideal Phase Modulation?
Huiwen Gong, Jianhua Zhang, Yuxiang Zhang +2
Reconfigurable intelligent surface (RIS) is envisioned as a promising technology for next-generation wireless communications. Its deployment introduces a RIS cascade link between t…
A Shared Cluster-based Stochastic Channel Model for Integrated Sensing and Communication Systems
Yameng Liu, Jianhua Zhang, Yuxiang Zhang +2
Integrated Sensing And Communication (ISAC) has been recognized as a promising technology in the 6G communication. A realistic channel model is a prerequisite for designing ISAC sy…
Rain Removal from Light Field Images with 4D Convolution and Multi-scale Gaussian Process
Tao Yan, Mingyue Li, Bin Li +2
Existing deraining methods focus mainly on a single input image. However, with just a single input image, it is extremely difficult to accurately detect and remove rain streaks, in…
Computer Vision Aided mmWave Beam Alignment in V2X Communications
Weihua Xu, Feifei Gao, Xiaoming Tao +2
Visual information, captured for example by cameras, can effectively reflect the sizes and locations of the environmental scattering objects, and thereby can be used to infer commu…
Adversarial Training-Aided Time-Varying Channel Prediction for TDD/FDD Systems
Zhen Zhang, Yuxiang Zhang, Jianhua Zhang +1
In this paper, a time-varying channel prediction method based on conditional generative adversarial network (CPcGAN) is proposed for time division duplexing/frequency division dupl…
Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions
Hongji Huang, Song Guo, Guan Gui +4
The new demands for high-reliability and ultra-high capacity wireless communication have led to extensive research into 5G communications. However, the current communication system…