Deep Learning-Based Automatic Modulation Classification Using Robust CNN Architecture for Cognitive Radio Networks

OF Abd-Elaziz, M Abdalla, RA Elsayed - Sensors, 2023 - mdpi.com
Automatic modulation classification (AMC) is an essential technique in intelligent receivers
of non-cooperative communication systems such as cognitive radio networks and military …

Efficient Cumulant-Based Automatic Modulation Classification Using Machine Learning

B Dgani, I Cohen - Sensors, 2024 - mdpi.com
This paper introduces a new technique for automatic modulation classification (AMC) in
Cognitive Radio (CR) networks. The method employs a straightforward classifier that utilizes …

Deep learning-based robust automatic modulation classification for cognitive radio networks

SH Kim, JW Kim, WP Nwadiugwu, DS Kim - IEEE access, 2021 - ieeexplore.ieee.org
In this paper, a novel deep learning-based robust automatic modulation classification (AMC)
method is proposed for cognitive radio networks. Generally, as network input of AMC …

Data-driven deep learning for automatic modulation recognition in cognitive radios

Y Wang, M Liu, J Yang, G Gui - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) is an essential and challenging topic in the
development of the cognitive radio (CR), and it is a cornerstone of CR adaptive modulation …

Towards recurrent neural network with multi-path feature fusion for signal modulation recognition

Z Lei, M Jiang, G Yang, T Guan, P Huang, Y Gu, Z Xu… - Wireless …, 2022 - Springer
Deep learning (DL) technology is an effective tool for automatic modulation recognition
(AMR) in the field of cognitive radio (CR). Most of the existing DL-based approaches usually …

Lightweight deep learning model for automatic modulation classification in cognitive radio networks

SH Kim, JW Kim, VS Doan, DS Kim - IEEE Access, 2020 - ieeexplore.ieee.org
Automatic modulation classification (AMC) used in cognitive radio networks is an important
class of methods apt to utilize spectrum resources efficiently. However, conventional …

MCNet: An efficient CNN architecture for robust automatic modulation classification

T Huynh-The, CH Hua, QV Pham… - IEEE Communications …, 2020 - ieeexplore.ieee.org
This letter proposes a cost-efficient convolutional neural network (CNN) for robust automatic
modulation classification (AMC) deployed for cognitive radio services of modern …

Convolutional neural network and multi‐feature fusion for automatic modulation classification

H Wu, Y Li, L Zhou, J Meng - Electronics Letters, 2019 - Wiley Online Library
Automatic modulation classification (AMC) lies at the core of cognitive radio and spectrum
sensing. In this Letter, the authors propose a novel convolutional neural network (CNN) …

Lightweight Hybrid Deep Learning Scheme for Automatic Modulation Classification in Cognitive Radio Networks

N Kassri, A Ennouaary, S Bah - 2022 9th International …, 2022 - ieeexplore.ieee.org
Addressing the spectrum scarcity problem under the explosive growth of wireless network
applications and data traffic, requires a decidedly global research focus on Cognitive Radio …

Hierarchical digital modulation classification using cascaded convolutional neural network

J Huang, S Huang, Y Zeng, H Chen… - Journal of …, 2021 - ieeexplore.ieee.org
Automatic modulation classification (AMC) aims to identify the modulation format of the
received signals corrupted by the noise, which plays a major role in radio monitoring. In this …