Machine learning (ML) provides effective means to learn from spectrum data and solve
complex tasks involved in wireless communications. Supported by recent advances in …

As modern communication technology advances apace, the digital communication signals
identification plays an important role in cognitive radio networks, the communication …

Automatic modulation classification (AMC) is an important technology for the monitoring,
management, and control of communication systems. In recent years, machine learning …

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

Deep learning has been widely exploited in radio modulation recognition in recent years. In
this paper, we exploit empirical mode decomposition (EMD) and variational mode …

Deep learning-based automatic modulation classification (AMC) models are susceptible to
adversarial attacks. Such attacks inject specifically crafted wireless interference into …

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

In industrial Internet of Things, the combination of specific emitter identification (SEI) and key
authenticated technologies can effectively resist spoofing attacks and improve system …

Automatic modulation classification (AMC) is of crucial importance in the sixth generation
wireless communication networks. Deep learning (DL)-based AMC schemes have attracted …

Machine learning techniques have emerged as a transformative force, revolutionizing
various application domains, particularly cybersecurity. The development of optimal …