Chen Huang
Orcid: 0000-0002-3949-2693Affiliations:
- Purple Mountain Laboratories, Pervasive Communication Research Center, Nanjing, China
- Southeast University, School of Information Science and Engineering, Nanjing, China
- Beijing Jiaotong University, China (PhD 2021)
According to our database1,
Chen Huang authored at least 65 papers
between 2008 and 2026.
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Bibliography
2026
IEEE Trans. Veh. Technol., February, 2026
An AI-Driven Low-Complexity SVD Approximation Method for Massive MIMO Communications.
IEEE Wirel. Commun. Lett., 2026
LLM4CoT: Large Language Models Orchestrating Chain-of-Task Optimization via Meta-Adapter in 6G Heterogeneous Networks.
IEEE Trans. Netw. Sci. Eng., 2026
High-Accuracy Predictive Channel Modeling for 6G Wireless Communications With an Improved Diffusion-Driven Learning Framework.
IEEE Trans. Commun., 2026
28-GHz Indoor Continuous-Space Channel Measurements and AI-Enabled 6G Channel Map Construction.
IEEE Trans. Commun., 2026
IEEE Trans. Commun., 2026
Wireless Channel Map Enabled Instantaneous Channel State Information Acquisition in High-Mobility Scenarios.
IEEE Trans. Commun., 2026
Joint Low-Rank and Sparse Bayesian Channel Estimation for Ultra-Massive MIMO Communications.
IEEE Commun. Lett., 2026
Modeling, Capacity Studies, Antenna and System Designs for 6G/B6G 3-D Continuous-Space Radio Channels Enabled by Electromagnetic Information Theory.
IEEE Commun. Surv. Tutorials, 2026
A Diffusion-Driven Learning Framework for Enhanced Predictive Channel Modeling in 6G Wireless Communications.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2026
Proceedings of the IEEE Wireless Communications and Networking Conference, 2026
2025
A Novel LoS/NLoS Identification-Assisted Positioning Method for 6G Indoor MIMO Communications.
IEEE Trans. Commun., December, 2025
IEEE Trans. Veh. Technol., April, 2025
IEEE Veh. Technol. Mag., March, 2025
Channel Map-Based Angle Domain Multiple Access for Cell-Free Massive MIMO Communications.
IEEE J. Sel. Top. Signal Process., March, 2025
IEEE Trans. Wirel. Commun., February, 2025
Sci. China Inf. Sci., 2025
A Novel Scenario Reconstruction Method Based on 3D Point Cloud Data and RT Channel Modeling for 6G Indoor Communications.
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025
An Improved Triplet-Based Channel Charting Algorithm for Positioning via Covariance Feature.
Proceedings of the IEEE International Conference on Communications, 2025
Proceedings of the IEEE International Conference on Communications, 2025
Improving Cell-Free Massive MIMO Through Channel Map-Based Angle Domain Multiple Access.
Proceedings of the IEEE International Conference on Communications, 2025
2024
A Frequency Domain Predictive Channel Model for 6G Wireless MIMO Communications Based on Deep Learning.
IEEE Trans. Commun., August, 2024
IEEE Trans. Veh. Technol., July, 2024
IEEE Commun. Mag., April, 2024
Channel Scenario Extensions, Identifications, and Adaptive Modeling for 6G Wireless Communications.
IEEE Internet Things J., 2024
An ECA-ResNet-Based Intelligent Communication Scenario Identification Algorithm for 6G Wireless Communications.
Int. J. Intell. Syst., 2024
Efficient 3D Electromagnetic Environment Reconstruction with Fused Data for 6G Digital Twin Online Channel Modeling.
Proceedings of the 24th IEEE International Conference on Communication Technology, 2024
Proceedings of the 24th IEEE International Conference on Communication Technology, 2024
Proceedings of the 24th IEEE International Conference on Communication Technology, 2024
A Novel Intelligent Scenario Identification Algorithm and Channel Characteristics Analysis for 6G Urban Wireless Communications.
Proceedings of the 2024 IEEE Global Communications Conference, 2024
2023
6G Wireless Channel Scenario Extensions and Characteristics Analysis for Urban Environment.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
A Novel Scatterer Density-Based Predictive Channel Model for 6G Wireless Communications.
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
Machine Learning-based Predictive Channel Modeling for 6G Wireless Communications Using Image Semantic Segmentation.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023
A Novel Scenario Segmentation-Identification Algorithm for 6G Wireless Channel Modeling.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023
2022
A Geometry-Based Stochastic Model for Truck Communication Channels in Freeway Scenarios.
IEEE Trans. Commun., 2022
Proceedings of the 96th Vehicular Technology Conference, 2022
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022
2021
IEEE Wirel. Commun., 2021
Geometry-Cluster-Based Stochastic MIMO Model for Vehicle-to-Vehicle Communications in Street Canyon Scenarios.
IEEE Trans. Wirel. Commun., 2021
Machine-Learning-Based Fast Angle-of-Arrival Recognition for Vehicular Communications.
IEEE Trans. Veh. Technol., 2021
IEEE Trans. Veh. Technol., 2021
Machine-Learning-Based Scenario Identification Using Channel Characteristics in Intelligent Vehicular Communications.
IEEE Trans. Intell. Transp. Syst., 2021
A Study of Clustering Algorithms for Time-Varying Multipath Components in Wireless Channels.
Proceedings of the 2021 IEEE Military Communications Conference, 2021
2020
IEEE Wirel. Commun. Lett., 2020
Measurements and Cluster-Based Modeling of Vehicle-to-Vehicle Channels With Large Vehicle Obstructions.
IEEE Trans. Wirel. Commun., 2020
Machine Learning-Enabled LOS/NLOS Identification for MIMO Systems in Dynamic Environments.
IEEE Trans. Wirel. Commun., 2020
IEEE Trans. Veh. Technol., 2020
Angle-of-Arrival Estimation for Vehicle-to-vehicle Communications based on Machine Learning.
Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020
Identification of Vehicle Obstruction Scenario Based on Machine Learning in Vehicle-to-vehicle Communications.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020
A Novel Power Weighted Multipath Component Clustering Algorithm Based on Spectral Clustering.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020
2019
A Cluster-Based Three-Dimensional Channel Model for Vehicle-to-Vehicle Communications.
IEEE Trans. Veh. Technol., 2019
A Power-Angle-Spectrum Based Clustering and Tracking Algorithm for Time-Varying Radio Channels.
IEEE Trans. Veh. Technol., 2019
Machine-Learning-Based Data Processing Techniques for Vehicle-to-Vehicle Channel Modeling.
IEEE Commun. Mag., 2019
Angular Information-Based NLOS/LOS Identification for Vehicle to Vehicle MIMO System.
Proceedings of the 17th IEEE International Conference on Communications Workshops, 2019
Path Loss Analysis and Modeling for Vehicle-to-Vehicle Communications in Convoys in Safety-Related Scenarios.
Proceedings of the IEEE 2nd Connected and Automated Vehicles Symposium, 2019
2018
Path Loss Analysis and Modeling for Vehicle-to-Vehicle Communications with Vehicle Obstructions.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018
Proceedings of the IEEE/CIC International Conference on Communications in China, 2018
2017
Comparison of Automatic Tracking and Clustering Algorithms for Time-Variant Multipath Components.
Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017
2008
Proceedings of the 67th IEEE Vehicular Technology Conference, 2008
Proceedings of the IEEE 19th International Symposium on Personal, 2008