Wireless networks are a key component of the telecommunications infrastructure in our
society, and wireless services become increasingly important as the applications of wireless …

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

This paper presents channel-aware adversarial attacks against deep learning-based
wireless signal classifiers. There is a transmitter that transmits signals with different …

The spoofing attack is critical to bypass physical-layer signal authentication. This paper
presents a deep learning-based spoofing attack to generate synthetic wireless signals that …

The rapid technological advancements in the current modern world bring the attention of
researchers to fast and real-time healthcare and monitoring systems. Smart healthcare is …

Machine learning provides automated means to capture complex dynamics of wireless
spectrum and support better understanding of spectrum resources and their efficient …

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 …

The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …

Increasing concerns on intelligent spectrum sensing call for efficient training and inference
technologies. In this paper, we propose a novel federated learning (FL) framework, dubbed …

The 6G system is envisioned to support various new applications with diverse requirements
in terms of quality and security. To fulfill diverse and stringent requirements, reconfigurable …