Data and knowledge dual-driven automatic modulation classification for 6G wireless communications

R Ding, F Zhou, Q Wu, C Dong, Z Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is of crucial importance in the sixth generation
wireless communication networks. Deep learning (DL)-based AMC schemes have attracted …

Data-and-knowledge dual-driven automatic modulation recognition for wireless communication networks

R Ding, H Zhang, F Zhou, Q Wu… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
Automatic modulation classification is of crucial importance in wireless communication
networks. Deep learning based automatic modulation classification schemes have attracted …

Dive into deep learning based automatic modulation classification: A disentangled approach

X Shang, H Hu, X Li, T Xu, T Zhou - IEEE access, 2020 - ieeexplore.ieee.org
Recently, deep learning (DL) based automatic modulation classification (AMC) has received
much attention. Various network structures with higher complexity are utilized to boost the …

TSN-A: An Efficient Deep Learning Model for Automatic Modulation Classification Based on Intra-Class Confusion Reduction of Modulation Families

X Wu, S Wei, Y Zhou, F Liao - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is an impressive technology, which is widely
used in military and civilian fields. Recently, deep learning-based AMC (DL-AMC) methods …

Automatic modulation classification using involution enabled residual networks

H Zhang, L Yuan, G Wu, F Zhou… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is of crucial importance for realizing wireless
intelligence communications. Many deep learning based models especially convolution …

Multi-task learning for generalized automatic modulation classification under non-Gaussian noise with varying SNR conditions

Y Wang, G Gui, T Ohtsuki… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Automatic modulation classification (AMC) is a critical algorithm for the identification of
modulation types so as to enable more accurate demodulation in the non-cooperative …

A hierarchical classification head based convolutional gated deep neural network for automatic modulation classification

S Chang, R Zhang, K Ji, S Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Automatic modulation classification (AMC) identifies a received signal's modulation scheme
without prior knowledge of the intercepted signal, which enables significant applications in …

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 …

CNN-based automatic modulation classification for beyond 5G communications

AP Hermawan, RR Ginanjar, DS Kim… - IEEE Communications …, 2020 - ieeexplore.ieee.org
In this letter, we propose an improved convolutional neural network (CNN)-based automatic
modulation classification network (IC-AMCNet), an algorithm to classify the modulation type …

Robust and fast automatic modulation classification with CNN under multipath fading channels

K Tekbıyık, AR Ekti, A Görçin, GK Kurt… - 2020 IEEE 91st …, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) has been studied for more than a quarter of a
century; however, it has been difficult to design a classifier that operates successfully under …