Mi Yang

Orcid: 0000-0003-1423-8899

Affiliations:

Beijing Jiaotong University, Frontiers Science Center for Smart High-Speed Railway System, China
Beijing Jiaotong University, School of Electronic and Information Engineering, China (PhD 2017)

According to our database¹, Mi Yang authored at least 77 papers between 2017 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Sensing-Enhanced Handover Criterion for Low-Altitude Wireless Networks (LAWN).

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., April, 2026

Environment-Aware Channel Prediction for Vehicular Communications: A Multimodal Visual Feature Fusion Framework.

[BibT_eX]

[DOI]

CoRR, April, 2026

Closed-Loop Integrated Sensing, Communication, and Control for Efficient Drone Flight.

[BibT_eX]

[DOI]

CoRR, March, 2026

A Multi-Modal Fusion Platform for Joint Environment Sensing and Channel Sounding in Highly Dynamic Scenarios.

[BibT_eX]

[DOI]

CoRR, January, 2026

Delay-Doppler Domain Channel Measurements and Modeling in High-Speed Railways.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2026

Channel Semantic Characterization for Integrated Sensing and Communication Scenarios: From Measurements to Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2026

Cluster-Based Time-Variant Channel Characterization and Modeling for 5G-Railways.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2026

Deep Learning-Based Dynamic Environment Reconstruction for Vehicular ISAC Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2026

A Novel Structure-Aware Multipath Clustering and Tracking Algorithm for Dynamic Communication Channels.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2026

Vision-Aided Channel Prediction Based on Image Segmentation at Street Intersection Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2026

Point Cloud-Based Environmental Material Classification for Wireless Channel Ray-Tracing Simulations.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2026

Machine Learning-Enhanced Multipump RFA for High-Performance Optical Backbone in Low-Altitude Sensing and Communication.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2026

Optimized Clipping Thresholds for Tandem Spreading Multiple Access in 6G IoT Under Impulsive Noise.

[BibT_eX]

[DOI]

IEEE Commun. Lett., 2026

2025

Vision Aided Channel Prediction for Vehicular Communications: A Case Study of Received Power Prediction Using RGB Images.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., November, 2025

Exploring Dynamic Beamforming for Reliable Handover in 5G Railway Communication Systems.

[BibT_eX]

[DOI]

IEEE Trans. Commun., November, 2025

COST CA20120 INTERACT Framework of Artificial Intelligence-Based Channel Modeling.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., August, 2025

Channel Measurements and Modeling for Dynamic Vehicular ISAC Scenarios at 28 GHz.

[BibT_eX]

[DOI]

IEEE Trans. Commun., August, 2025

Sparse Channel Reconstruction: A Generative-Adversarial-Network-Based Approach.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., August, 2025

Channel Spreading Function-Inspired Channel Transfer Function Estimation for OFDM Systems With High Mobility.

[BibT_eX]

[DOI]

IEEE Wirel. Commun. Lett., July, 2025

Sensing-Enhanced Handover Criterion for Low-Altitude Wireless Networks (LAWNs).

[BibT_eX]

[DOI]

CoRR, May, 2025

Collision Control in Tandem Spreading Multiple Access with Cognitive Radio for 6G Internet of Things: Enhanced System Reliability through Effective User Identification.

[BibT_eX]

[DOI]

IEEE Veh. Technol. Mag., March, 2025

A CGAN-LSTM-Based Framework for Time-Varying Non-Stationary Channel Modeling.

[BibT_eX]

[DOI]

CoRR, March, 2025

Impact of Environmental Granularity on CNN-Based Wireless Channel Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., January, 2025

Measurement-Based Non-Stationary Markov Tapped Delay Line Channel Model for 5G-Railways.

[BibT_eX]

[DOI]

CoRR, January, 2025

Impact of Point Cloud Reconstruction Detail on mmWave Ray-Tracing in Indoor Environments.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2025

A Geometry-Based Marine Channel Model for UAV-to-Ship Communication Systems.

[BibT_eX]

[DOI]

IET Commun., 2025

Empirical Propagation Model Assisted Deep Learning Network for Path Loss Prediction.

[BibT_eX]

[DOI]

Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

Deep Learning for Dynamic Non-Stationary Channel Modeling: A GAN-LSTM Approach.

[BibT_eX]

[DOI]

Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

DRL-Aided Dynamic Beamforming for Reliable Handover in 5G Railway Communication Systems.

[BibT_eX]

[DOI]

Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025

Measurement, Characterization and Modeling of 5G-for-Railway (5G-R) Channel.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024

Measurement and Characterization of Vehicle-to-Vehicle Channels in Vegetated Environment.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., November, 2024

AI-Empowered RIS-Assisted Networks: CV-Enabled RIS Selection and DNN-Enabled Transmission.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., November, 2024

A Cluster-Based Statistical Channel Model for Integrated Sensing and Communication Channels.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., September, 2024

Narrowband Channel Measurements and Statistical Characterization in Subway Tunnels at 1.8 and 5.8 GHz.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., July, 2024

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

[BibT_eX]

[DOI]

IEEE Commun. Mag., April, 2024

A 3D Geometry-Based Reconfigurable Intelligent Surfaces-Assisted mmWave Channel Model for High-Speed Train Communications.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2024

Measurement-Based Channel Characterization and Modeling for 5G-Railways at 2.16 GHz.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Wireless Communications and Signal Processing, 2024

Characterization of Wireless Channel Semantics: A New Paradigm.

[BibT_eX]

[DOI]

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

2023

A General Channel Model for Integrated Sensing and Communication Scenarios.

[BibT_eX]

[DOI]

IEEE Commun. Mag., May, 2023

Deep Learning Based Cross Frequency Channel Reconstruction and Modeling.

[BibT_eX]

[DOI]

Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

2022

A Novel Denoising Method Based on Machine Learning in Channel Measurements.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2022

Modeling and Analysis of MIMO Multipath Channels With Aerial Intelligent Reflecting Surface.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2022

5G for Railways: Next Generation Railway Dedicated Communications.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2022

Vehicle-to-Vehicle Channel Characteristics in Intersection Environment.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

2021

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

[BibT_eX]

[DOI]

IEEE Wirel. Commun., 2021

Non-Stationary Vehicular Channel Characterization in Complicated Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2021

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

[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

OTFS modulation performance in a satellite-to-ground channel at sub-6-GHz and millimeter-wave bands with high mobility.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., 2021

A Non-Stationary Geometry-Based MIMO Channel Model for Millimeter-Wave UAV Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 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

Multipath Fading Channel Modeling with Aerial Intelligent Reflecting Surface.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

2020

Feeder Communication for Integrated Networks.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., 2020

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

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2020

Impact of UAV Rotation on MIMO Channel Characterization for Air-to-Ground Communication Systems.

[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

Impact of UAV Rotation on MIMO Channel Space-Time Correlation.

[BibT_eX]

[DOI]

Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Three-Dimensional Modeling of Millimeter-Wave MIMO Channels for UAV-Based Communications.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

2019

On 3D Cluster-Based Channel Modeling for Large-Scale Array Communications.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2019

A Cluster-Based Channel Model for Massive MIMO Communications in Indoor Hotspot Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2019

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

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2019

Measurement-Based Markov Modeling for Multi-Link Channels in Railway Communication Systems.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2019

Directional Analysis of Vehicle-to-Vehicle Channels with Large Vehicle Obstructions.

[BibT_eX]

[DOI]

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Measurement and Analysis of Fading Characteristics of V2V Propagation Channel at 5.9 GHz in Tunnel.

[BibT_eX]

[DOI]

Proceedings of the IoT as a Service - 5th EAI International Conference, 2019

2018

Cluster-Based 3-D Channel Modeling for Massive MIMO in Subway Station Environment.

[BibT_eX]

[DOI]

IEEE Access, 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

The 3D Spatial Non-Stationarity and Spherical Wavefront in Massive MIMO Channel Measurement.

[BibT_eX]

[DOI]

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

Directional Analysis of Massive MIMO Channels at 11 GHz in Theater Environment.

[BibT_eX]

[DOI]

Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Channel Characterization for Massive MIMO in Subway Station Environment at 6 GHz and 11 GHz.

[BibT_eX]

[DOI]

Proceedings of the 88th IEEE Vehicular Technology Conference, 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

Measurement-Based Massive MIMO Channel Characterization in Lobby Environment at 11 GHz.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

Time-Variant Cluster-Based Channel Modeling for V2V Communications.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017

Indoor massive multiple-input multiple-output channel characterization and performance evaluation.

[BibT_eX]

[DOI]

Frontiers Inf. Technol. Electron. Eng., 2017

Multi-User Channels With Large-Scale Antenna Arrays in a Subway Environment: Characterization and Modeling.

[BibT_eX]

[DOI]

IEEE Access, 2017

Directional Analysis of Indoor Massive MIMO Channels at 6 GHz Using SAGE.

[BibT_eX]

[DOI]

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Mi Yang

Timeline

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Bibliography

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