Terahertz (THz)-band communications are a key enabler for future-generation wireless
communication systems that promise to integrate a wide range of data-demanding …

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 …

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

This paper looks into the modulation classification problem for a distributed wireless
spectrum sensing network. First, a new data-driven model for automatic modulation …

Deep learning (DL) has recently aroused substantial concern due to its successful
implementations in many fields. Currently, there are few studies on the applications of DL in …

Automatic modulation classification (AMC), which plays critical roles in both civilian and
military applications, is investigated in this paper through a deep learning approach …

Automatic modulation recognition (AMR) technique plays an important role in the
identification of modulation types of unknown signal of integrated sensing and …

Satellite communication offers the prospect of service continuity over uncovered and under-
covered areas, service ubiquity, and service scalability. However, several challenges must …

Automatic modulation classification (AMC) is becoming increasingly important in spectrum
monitoring and cognitive radio. However, most existing modulation classification algorithms …