Chen Huang

Orcid: 0000-0002-3949-2693

Affiliations:

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 34 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2024

AI-Enabled Data-Driven Channel Modeling for Future Communications.

[BibT_eX]

[DOI]

IEEE Commun. Mag., April, 2024

Channel Scenario Extensions, Identifications, and Adaptive Modeling for 6G Wireless Communications.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2024

2023

6G Wireless Channel Scenario Extensions and Characteristics Analysis for Urban Environment.

[BibT_eX]

[DOI]

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

A Novel Scatterer Density-Based Predictive Channel Model for 6G Wireless Communications.

[BibT_eX]

[DOI]

Proceedings of the 97th IEEE Vehicular Technology Conference, 2023

Machine Learning-based Predictive Channel Modeling for 6G Wireless Communications Using Image Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

A Beam Domain Channel Estimation Algorithm Based on Sparse Bayesian Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

A Novel Scenario Segmentation-Identification Algorithm for 6G Wireless Channel Modeling.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

2022

A Geometry-Based Stochastic Model for Truck Communication Channels in Freeway Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2022

A Weighted Random Forest Based Positioning Algorithm for 6G Indoor Communications.

[BibT_eX]

[DOI]

Proceedings of the 96th Vehicular Technology Conference, 2022

A GAN-LSTM based AI Framework for 6G Wireless Channel Prediction.

[BibT_eX]

[DOI]

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

2021

Wireless Channel Sparsity: Measurement, Analysis, and Exploitation in Estimation.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., 2021

Geometry-Cluster-Based Stochastic MIMO Model for Vehicle-to-Vehicle Communications in Street Canyon Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2021

Machine-Learning-Based Fast Angle-of-Arrival Recognition for Vehicular Communications.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2021

Dynamic Clustering of Multipath Components for Time-Varying Propagation Channels.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2021

Machine-Learning-Based Scenario Identification Using Channel Characteristics in Intelligent Vehicular Communications.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

A Scheme of Channel Prediction Based on Artificial Neural Network.

[BibT_eX]

[DOI]

CoRR, 2021

Radio Communication Scenarios in 5G-Railways.

[BibT_eX]

[DOI]

CoRR, 2021

A Study of Clustering Algorithms for Time-Varying Multipath Components in Wireless Channels.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Military Communications Conference, 2021

2020

Channel Non-Line-of-Sight Identification Based on Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., 2020

Measurements and Cluster-Based Modeling of Vehicle-to-Vehicle Channels With Large Vehicle Obstructions.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2020

Machine Learning-Enabled LOS/NLOS Identification for MIMO Systems in Dynamic Environments.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2020

Trajectory-Joint Clustering Algorithm for Time-Varying Channel Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2020

Angle-of-Arrival Estimation for Vehicle-to-vehicle Communications based on Machine Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

A Novel Power Weighted Multipath Component Clustering Algorithm Based on Spectral Clustering.

[BibT_eX]

[DOI]

Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

2019

A Cluster-Based Three-Dimensional Channel Model for Vehicle-to-Vehicle Communications.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2019

A Power-Angle-Spectrum Based Clustering and Tracking Algorithm for Time-Varying Radio Channels.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2019

Machine-Learning-Based Data Processing Techniques for Vehicle-to-Vehicle Channel Modeling.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2019

Angular Information-Based NLOS/LOS Identification for Vehicle to Vehicle MIMO System.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

A Novel Target Recognition Based Radio Channel Clustering Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

A Cluster-Based 3D Channel Model for Vehicle-to-Vehicle Communications.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Globecom Workshops, Singapore, December 4-8, 2017, 2017

Chen Huang

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