A lightweight decentralized-learning-based automatic modulation classification method for resource-constrained edge devices
Due to the computing capability and memory limitations, it is difficult to apply the traditional
deep learning (DL) models to the edge devices (EDs) for realizing lightweight automatic …
deep learning (DL) models to the edge devices (EDs) for realizing lightweight automatic …
Automatic modulation recognition based on a DCN-BiLSTM network
K Liu, W Gao, Q Huang - Sensors, 2021 - mdpi.com
Automatic modulation recognition (AMR) is a significant technology in noncooperative
wireless communication systems. This paper proposes a deep complex network that …
wireless communication systems. This paper proposes a deep complex network that …
A lightweight deep learning model for automatic modulation classification using residual learning and squeeze–excitation blocks
Automatic modulation classification (AMC) is a vital process in wireless communication
systems that is fundamentally a classification problem. It is employed to automatically …
systems that is fundamentally a classification problem. It is employed to automatically …
A lightweight multi-feature fusion structure for automatic modulation classification
Z Li, W Zhang, Y Wang, S Li, X Sun - Physical Communication, 2023 - Elsevier
Automatic modulation classification (AMC) is a useful technology for Internet of Things
devices to automatically distinguish the modulation scheme of the received signal. Recently …
devices to automatically distinguish the modulation scheme of the received signal. Recently …
Secure OFDM Transmissions With Coset-QAM
Modulation recognition for Orthogonal Frequency Division Multiplexing (OFDM) has many
applications in commercial and surveillant communications (eg, frequency spectrum …
applications in commercial and surveillant communications (eg, frequency spectrum …
Automatic modulation classification based on one-dimensional convolution feature fusion network
R Ma, D Wu, T Hu, D Yi, Y Zhang, J Chen - International Conference on …, 2021 - Springer
Deep learning method has been gradually applied to Automatic Modulation Classification
(AMC) because of its excellent performance. In this paper, a lightweight one-dimensional …
(AMC) because of its excellent performance. In this paper, a lightweight one-dimensional …