Automatic modulation recognition (AMR) detects the modulation scheme of the received
signals for further signal processing without needing prior information, and provides the …

Modulation classification is one of the key tasks for communications systems monitoring,
management, and control for addressing technical issues, including spectrum awareness …

Automatic modulation classification (AMC) is to identify the modulation type of a received
signal, which plays a vital role to ensure the physical-layer security for Internet of Things …

Recently, classifying the modulation schemes of signals using deep neural network has
received much attention. In this paper, we introduce a general model of deep neural network …

Automatic modulation classification (AMC), which aims to blindly identify the modulation type
of an incoming signal at the receiver in wireless communication systems, is a fundamental …

In this paper, we study the automatic modulation classification in a non-orthogonal multiple
access system. To mitigate the effect of interference, a likelihood-based algorithm and a …

Automatic Modulation Classification (AMC) is of paramount importance in wireless
communication systems. Existing methods usually adopt a single category of neural network …

Automatic modulation classification (AMC) is an essential factor in dynamic spectrum access
to fulfill the spectrum demand of 5G wireless communications for achieving high data rate …

In recent years, neural network algorithms have demonstrated tremendous potential for
modulation classification. Deep learning methods typically take raw signals or convert …

Abstract Automatic Modulation Classification (AMC) is a rapidly evolving technology, which
can be employed in software defined radio structures, especially in 5G and 6G technology …