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

Deep learning (DL) is a new machine learning (ML) methodology that has found successful
implementations in many application domains. However, its usage in communications …

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 …

Deep learning (DL) is a newly addressed area of research in the field of modulation
classification. In this letter, a constellation density matrix (CDM) based modulation …

Since the emergence of 5G technology, the wireless communication system has had a huge
data throughput, so the joint development of artificial intelligence technology and wireless …

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 …

Automatic modulation classification (AMC) identifies a received signal's modulation scheme
without prior knowledge of the intercepted signal, which enables significant applications in …

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

Deep learning (DL) has been recognized as an effective solution for automatic modulation
classification (AMC). However, most recent DL based AMC works are based on real-valued …

Deep learning (DL) is a powerful classification technique that has great success in many
application domains. However, its usage in communication systems has not been well …