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

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 …

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 …

Identification of the type of communication technology and/or modulation scheme based on
detected radio signal are challenging problems encountered in a variety of applications …

Blindly decoding a signal requires estimating its unknown transmit parameters,
compensating for the wireless channel impairments, and identifying the modulation type …

Blind modulation classification (MC) is an integral part of designing an adaptive or intelligent
transceiver for future wireless communications. However, till date, only a few works have …

Automatic modulation recognition (AMR) of radio signals is becoming increasingly important
due to its key role in wireless communication system management, monitoring, and control …

Deep learning has been fully verified and accepted in the field of electromagnetic signal
classification. However, in many specific scenarios, such as radio resource management for …

Automatic modulation classification (AMC) is a key technology of cognitive radio used in non-
cooperative communication. Recently, deep learning has been applied to AMC tasks. In this …

Due to the uncertainty of non-cooperative communication channels, the received signals
often contain various impairment factors, leading to a significant decline in the performance …