Chia-Hung Lin

College of Engineering

Works (10)

Updated: March 3rd, 2025 11:39

2023 article

6G-AUTOR: Autonomic Transceiver via Realtime On-Device Signal Analytics

Lin, C.-H., Rohit, K. V. S., Lin, S.-C., & Chu, L. C. (2023, May 18). Journal of Signal Processing Systems, Vol. 5.

By: C. Lin n, K. Rohit n, S. Lin n  & L. Chu *

author keywords: Cell-free infrastructure; Dynamic spectrum management; Automatic modulation classification; Intelligent radio; Compressed spectrum sensing; LDPC decoder
topics (OpenAlex): Telecommunications and Broadcasting Technologies; Wireless Signal Modulation Classification; Full-Duplex Wireless Communications
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Sources: Web Of Science, NC State University Libraries
Added: May 30, 2023

2023 journal article

A Low-Overhead Dynamic Formation Method for LEO Satellite Swarm Using Imperfect CSI

IEEE Transactions on Vehicular Technology, 73(5), 6923–6936.

By: C. Lin n, S. Lin n  & L. Chu *

author keywords: Low earth orbit satellites; Satellites; MIMO communication; Real-time systems; 6G mobile communication; Vehicle dynamics; Training; Deep learning; dynamic formation; imperfect channel state information (CSI); low Earth orbit (LEO) satellites; multi-input multi-output (MIMO); satellite communications (SATCOM)
topics (OpenAlex): Satellite Communication Systems; Advanced MIMO Systems Optimization
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UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: June 17, 2024

2023 article

Privacy-Preserving Serverless Edge Learning With Decentralized Small-Scale Mobile Data

Lin, S.-C., Lin, C.-H., & Lee, M. (2023, May 29). IEEE Network, Vol. 38, pp. 264–271.

By: S. Lin n , C. Lin n & M. Lee *

author keywords: Training; Next generation networking; Task analysis; Computational efficiency; Computational modeling; Artificial intelligence; Federated learning; 6G mobile communication
topics (OpenAlex): Privacy-Preserving Technologies in Data; IoT and Edge/Fog Computing; Advanced Wireless Communication Technologies
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UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 28, 2024

2021 article

A C-V2X Platform Using Transportation Data and Spectrum-Aware Sidelink Access

Lin, C.-H., Lin, S.-C., Wang, C.-Y., & Chase, T. (2021, October 17). 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

By: C. Lin n, S. Lin n , C. Wang n & T. Chase n

topics (OpenAlex): Vehicular Ad Hoc Networks (VANETs); Autonomous Vehicle Technology and Safety; Traffic Prediction and Management Techniques
TL;DR: A cellular vehicle-to-everything (C-V2X) verification platform based on an actual traffic simulator and spectrum-aware access that can effectively train and realize DL-based C-V1X algorithms and validates its practicality in real-world vehicular environments. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: July 5, 2022

2021 article

Deep-Learning Based Decentralized Frame-to-Frame Trajectory Prediction Over Binary Range-Angle Maps for Automotive Radars

Lin, Y.-C., Gu, M.-X., Lin, C.-H., & Lee, T.-S. (2021, May 20). IEEE Transactions on Vehicular Technology.

By: Y. Lin *, M. Gu*, C. Lin n & T. Lee *

author keywords: Radar; Trajectory; OFDM; Predictive models; Radar antennas; Sensors; Prediction algorithms; Predictive warning; automotive radar; ConvLSTM; ST-LSTM; trajectory prediction
topics (OpenAlex): Autonomous Vehicle Technology and Safety; Traffic Prediction and Management Techniques; Anomaly Detection Techniques and Applications
TL;DR: Simulations show that the proposed decentralized framework using predictive RadarNet can provide reliable prediction results with a low computation time. (via Semantic Scholar)
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Source: Web Of Science
Added: August 16, 2021

2021 article

GCN-CNVPS: Novel Method for Cooperative Neighboring Vehicle Positioning System Based on Graph Convolution Network

Lin, C.-H., Fang, Y.-H., Chang, H.-Y., Lin, Y.-C., Chung, W.-H., Lin, S.-C., & Lee, T.-S. (2021, January 1). IEEE Access.

By: C. Lin n, Y. Fang*, H. Chang, Y. Lin *, W. Chung *, S. Lin n , T. Lee *

author keywords: Global Positioning System; Location awareness; Sensors; Radar; Vehicular ad hoc networks; Sensor systems; Safety; Cooperative vehicle localization; data fusion; deep neural network (DNN); graph convolution network (GCN); long short-term memory (LSTM); vehicle-to-vehicle (V2V)
topics (OpenAlex): Indoor and Outdoor Localization Technologies; Vehicular Ad Hoc Networks (VANETs); Smart Parking Systems Research
TL;DR: This study investigates the development of deep learning (DL) based cooperative vehicle localization algorithms to provide GPS refinement solutions with low complexity, high performance, and flexibility and proposes three DL models to address the problem of interest. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: December 6, 2021

2021 article

TULVCAN: Terahertz Ultra-broadband Learning Vehicular Channel-Aware Networking

Lin, C.-H., Lin, S.-C., & Blasch, E. (2021, May 10). IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (IEEE INFOCOM WKSHPS 2021).

By: C. Lin n, S. Lin n  & E. Blasch *

topics (OpenAlex): Wireless Signal Modulation Classification; Terahertz technology and applications; Millimeter-Wave Propagation and Modeling
TL;DR: This THz Ultra-broadband Learning Vehicular Channel-Aware Networking (TULVCAN) work successfully achieves effective THz spectrum learning and hence allows frequency-agile access. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: September 6, 2022

2020 article

A Survey on Deep Learning-Based Vehicular Communication Applications

Lin, C.-H., Lin, Y.-C., Wu, Y.-J., Chung, W.-H., & Lee, T.-S. (2020, August 23). Journal of Signal Processing Systems.

By: C. Lin n, Y. Lin *, Y. Wu *, W. Chung* & T. Lee*

author keywords: Vehicular communications; Deep learning; Intelligent transportation systems; Traffic flow forecasting; Trajectory prediction
topics (OpenAlex): Traffic Prediction and Management Techniques; Human Mobility and Location-Based Analysis; Vehicular Ad Hoc Networks (VANETs)
TL;DR: An in-depth investigation on two popular DL-based applications used in ITS, traffic flow forecasting and trajectory prediction, focusing on when and how the authors employ different DL models and training schemes in these tasks. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
Source: Web Of Science
Added: September 7, 2020

2020 article

A Variational Autoencoder-Based Secure Transceiver Design Using Deep Learning

Lin, C.-H., Wu, C.-C., Chen, K.-F., & Lee, T.-S. (2020, December 1).

By: C. Lin n, C. Wu *, K. Chen * & T. Lee *

author keywords: physical layer security; wiretap channel; deep learning; neural networks; variational autoencoder
topics (OpenAlex): Wireless Communication Security Techniques; Wireless Signal Modulation Classification; Error Correcting Code Techniques
TL;DR: This paper modifications the loss function design of a variational autoencoder, which is a special type of neural network, making it possible to provide both robust data transmission and security in an unsupervised fashion and proves that this approach can outperform the existing learning-based methods. (via Semantic Scholar)
Source: Web Of Science
Added: October 26, 2021

2020 article

Unsupervised ResNet-Inspired Beamforming Design Using Deep Unfolding Technique

Lin, C.-H., Lee, Y.-T., Chung, W.-H., Lin, S.-C., & Lee, T.-S. (2020, December 1). 2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM).

By: C. Lin n, Y. Lee*, W. Chung *, S. Lin n  & T. Lee *

author keywords: MIMO; beamforming; transceiver design; deep learning; unsupervised learning; neural network; deep unfold
topics (OpenAlex): Antenna Design and Optimization; Millimeter-Wave Propagation and Modeling; Speech and Audio Processing
TL;DR: An unsupervised ResNet-inspired beamforming (RI-BF) algorithm that inherits the advantages of both pure optimization-based and DL-based beamforming for efficiency and is inspired by the success of residual neural network (ResNet)-based DL models. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: October 26, 2021

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