Internet of Things (IoT) networks are often subject to many malicious attacks in untrusted
environments, and automatic modulation classification (AMC) is an effective way to combat …

Automatic modulation recognition plays an important role in military and civilian
applications, identifying the modulation format of received signals before signal …

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

With the evolutionary development of modern communications technology, automatic
modulation classification (AMC) has played an increasing role in the complex wireless …

Automatic modulation classification is an important component in many modern aeronautical
communication systems to achieve efficient spectrum usage in congested wireless …

Automatic modulation classification (AMC), which plays a significant role in wireless
communication, can recognize the modulation type of the received signal without large …

Automatic modulation classification (AMC) is a useful technology for Internet of Things
devices to automatically distinguish the modulation scheme of the received signal. Recently …

Deep neural networks (DNN) based automatic modulation classification (AMC) has
achieved high accuracy performance. However, DNNs are data‐hungry models, and …

In this paper, an efficient automatic modulation classification for MIMO-OFDM signals is
proposed for next generation wireless networks by exploiting cutting-edge deep learning …

Automatic modulation classification plays a critical role in the intelligent reception of
unknown wireless signals. In practice, the dynamic wireless environment brings a great …