Automatic modulation classification (AMC) is a hot topic in modern wireless communication,
which is a classification problem essentially. The deep learning methods have been applied …

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 (AMC) is becoming increasingly important in modern
wireless communication. In this paper, we proposed a novel integrative approach for AMC …

Automatic modulation classification (AMC) is a key technique for designing non-cooperative
communication systems, and deep learning (DL) is applied effectively to AMC for improving …

Deep learning (DL) has been used more and more in the field of automatic modulation
classification (AMC) in recent years, but there are still many areas for improvement. In this …

Automatic modulation classification (AMC) is a promising technology for non-cooperative
communication systems in both military and civilian scenarios. Nowadays, More and more …

Recently, deep learning (DL) is an innovative machine learning (ML) technique that has
gained the outstanding achievements in computer vision and natural language processing …

Automatic modulation classification (AMC) is a crucial stage in the spectrum management,
signal monitoring, and control of wireless communication systems. The accurate …

This paper proposes a decentralized automatic modulation classification (DecentAMC)
method using light network and model aggregation. Specifically, the lightweight network is …

Automatic modulation classification (AMC) is a vital process in wireless communication
systems that is fundamentally a classification problem. It is employed to automatically …