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 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 a vital process in wireless communication
systems that is fundamentally a classification problem. It is employed to automatically …

Automatic modulation recognition (AMR) is a promising technology for intelligent
communication receivers to detect signal modulation schemes. Recently, the emerging deep …

Automatic modulation classification plays an important role in many fields to identify the
modulation type of wireless signals in order to recover signals by demodulation. In this …

Modulation recognition is a major task in many wireless communication systems including
cognitive radio and signal reconnaissance. The diversification of modulation schemes and …

The modulation recognition of digital signals under non-cooperative conditions is one of the
important research contents here. With the rapid development of artificial intelligence …

Automatic modulation classification (AMC) is a crucial task for various communications
applications. Deep learning (DL) based classifier is emerging as a prevalent choice for …

The 5G and beyond wireless networks will be more dynamic and heterogeneous, which
needs to work on multistrand waveforms. One of the most significant challenges in such a …