A review of research on signal modulation recognition based on deep learning

W **ao, Z Luo, Q Hu - Electronics, 2022 - mdpi.com
Since the emergence of 5G technology, the wireless communication system has had a huge
data throughput, so the joint development of artificial intelligence technology and wireless …

Supervised contrastive learning for RFF identification with limited samples

Y Peng, C Hou, Y Zhang, Y Lin, G Gui… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Radio-frequency fingerprint (RFF), which comes from the imperfect hardware, is a potential
feature to ensure the security of communication. With the development of deep learning …

A Distributed Sensor System Based on Cloud-Edge-End Network for Industrial Internet of Things

M Wang, C Xu, Y Lin, Z Lu, J Sun, G Gui - Future Internet, 2023 - mdpi.com
The Industrial Internet of Things (IIoT) refers to the application of the IoT in the industrial field.
The development of fifth-generation (5G) communication technology has accelerated the …

Failure detector based on vehicle movement prediction in vehicular ad-hoc networks

J Liu, S Chen, G Gui, H Gacanin… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular ad hoc network (VANETs) improves road safety and efficiency by organizing
vehicles and infrastructure to provide a platform for application deployment. The availability …

Automatic modulation classification using hybrid data augmentation and lightweight neural network

F Wang, T Shang, C Hu, Q Liu - Sensors, 2023 - mdpi.com
Automatic modulation classification (AMC) plays an important role in intelligent wireless
communications. With the rapid development of deep learning in recent years, neural …

An Improved Encoder Network Method for Modulation Recognition

Y Wu, J Chang, D Li, M Li - 2024 9th International Conference …, 2024 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) is a key technology in wireless communication
application systems, and the application of deep learning improves the accuracy of AMR …