Deep learning for enhancing automatic classification of M-PSK and M-QAM waveform signals dedicated to single-relay cooperative MIMO 5G systems

Deep learning for enhancing automatic classification of M-PSK and M-QAM waveform signals dedicated to single-relay cooperative MIMO 5G systems

Abstract Automatic modulation classification (AMC) is a critical component in modern communication systems, particularly within software-defined radios, cognitive radio networks, smart grid and and distributed renewable energy systems (RESs) where adaptive and efficient signal processing is essentia...

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Bibliographic Details
Main Authors: Haithem Ben Chikha, Alaa Alaerjan, Randa Jabeur
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Automatic modulation classification
Deep learning
Single-relay cooperative MIMO 5G systems
M-PSK and M-QAM waveform signals
Smart grid
Distributed renewable energy systems
Online Access:https://doi.org/10.1038/s41598-025-10738-z
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https://doi.org/10.1038/s41598-025-10738-z

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