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 …

Fifth-generation networks efficiently support and fulfill the demands of mobile broadband
and communication services. There has been a continuing advancement from 4G to 5G …

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

The granularization of crucial network functions implementation using software-centric, and
virtualized approaches in 5G networks have brought forth unprecedented security …

With the commercial deployment of the 5G system, researchers from both academia and
industry are moving attention to the blueprint of the 6G system. The space-air-ground-sea …

Wireless systems have become an increasingly pivotal part of our lives. Various critical
applications and use cases such as healthcare, financial transactions, e-commerce …

Network slicing manages network resources as virtual resource blocks (RBs) for the 5G
Radio Access Network (RAN). Each communication request comes with quality of …

An over-the-air membership inference attack (MIA) is presented to leak private information
from a wireless signal classifier. Machine learning (ML) provides powerful means to classify …

Cyber-physical systems (CPS) are increasingly relying on machine learning (ML)
techniques to reduce labor costs and improve efficiency. However, the adoption of ML also …