The rapid development of information and wireless communication technologies together
with the large increase in the number of end-users have made the radio spectrum more …

Machine learning (ML) which is a subset of artificial intelligence is expected to unlock the
potential of challenging large-scale problems in conventional massive multiple-input …

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

Based on a comparative analysis of the Long Short-Term Memory (LSTM) and Gated
Recurrent Unit (GRU) networks, we optimize the structure of the GRU network and propose …

This paper proposes a convolutional neural network (CNN), called SCGNet, for low-
complexity and robust modulation recognition in intelligent communication receivers …

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 …

Automatic modulation classification (AMC) is an important stage in intelligent wireless
communication receivers. It is a necessary process after signal detection, and before …

In a non-cooperative communication environment, automatic modulation classification
(AMC) is an essential technology for analyzing signals and classifying different kinds of …

Automatic modulation classification is a task that is essentially required in many intelligent
communication systems such as fibre‐optic, next‐generation 5G or 6G systems, cognitive …

This paper proposes a combined Convolutional Neural Network (CNN) scheme appropriate
for automatic modulation recognition. The suggested network includes a deep network …