Chia-Hung Lin
College of Engineering
Works (10)
Updated: June 18th, 2024 05:03
2024 journal article
A Low-Overhead Dynamic Formation Method for LEO Satellite Swarm Using Imperfect CSI
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 73(5), 6923–6936.
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)
UN Sustainable Development Goal Categories
9. Industry, Innovation and Infrastructure
(Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: June 17, 2024
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 FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, Vol. 5.
author keywords: Cell-free infrastructure; Dynamic spectrum management; Automatic modulation classification; Intelligent radio; Compressed spectrum sensing; LDPC decoder
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: May 30, 2023
2023 journal article
Privacy-Preserving Serverless Edge Learning With Decentralized Small-Scale Mobile Data
IEEE NETWORK, 38(2), 264–271.
author keywords: Training; Next generation networking; Task analysis; Computational efficiency; Computational modeling; Artificial intelligence; Federated learning; 6G mobile communication
open access via arxiv.org (repository)
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
2021 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), pp. 1293–1298.
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 Goal Categories
9. Industry, Innovation and Infrastructure
(OpenAlex)
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: July 5, 2022
2021 journal article
Deep-Learning Based Decentralized Frame-to-Frame Trajectory Prediction Over Binary Range-Angle Maps for Automotive Radars
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 70(7), 6385–6398.
author keywords: Radar; Trajectory; OFDM; Predictive models; Radar antennas; Sensors; Prediction algorithms; Predictive warning; automotive radar; ConvLSTM; ST-LSTM; trajectory prediction
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)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 16, 2021
2021 journal article
GCN-CNVPS: Novel Method for Cooperative Neighboring Vehicle Positioning System Based on Graph Convolution Network
IEEE ACCESS, 9, 153429–153441.
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)
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)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: December 6, 2021
2021 article
TULVCAN: Terahertz Ultra-broadband Learning Vehicular Channel-Aware Networking
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (IEEE INFOCOM WKSHPS 2021).
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 journal article
A Survey on Deep Learning-Based Vehicular Communication Applications
JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 93(4), 369–388.
author keywords: Vehicular communications; Deep learning; Intelligent transportation systems; Traffic flow forecasting; Trajectory prediction
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)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: September 7, 2020
2020 article
A Variational Autoencoder-Based Secure Transceiver Design Using Deep Learning
2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM).
author keywords: physical layer security; wiretap channel; deep learning; neural networks; variational autoencoder
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
2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM).
author keywords: MIMO; beamforming; transceiver design; deep learning; unsupervised learning; neural network; deep unfold
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 Goal Categories
9. Industry, Innovation and Infrastructure
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: October 26, 2021
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