As a legacy from conventional wireless services, illegal eavesdropping is regarded as one
of the critical security challenges in Connected and Autonomous Vehicles (CAVs) network …

Due to the inherently open and shared nature of the wireless channels, wireless
communication networks are vulnerable to jamming attacks, and effective anti-jamming …

Human-centric communication metaverse relies on the convergent integration of multiple
existing technologies such as 5G and beyond networks, virtual reality, augmented reality …

To ensure an accurate power allocation against increasing intelligent jamming attacks on
the offloading link of computation tasks, we investigate interactions between a cluster head …

Radar jamming recognition aims to accurately recognize the type of jamming to provide
guidance for radar countermeasures. Although previous deep learning-based methods have …

In this article, the anti-jamming communication problem is investigated from a game-
theoretic learning perspective. By exploring and analyzing intelligent anti-jamming …

This paper investigates the anti-jamming communication scenario where an intelligent
reflecting surface (IRS) is mounted on the unmanned aerial vehicle (UAV) to resist the …

Coalition-based unmanned aerial vehicle (UAV) swarms havebeen widelyused in urgent
missions. To fasten the completion, mobile edge computing (MEC) has been introduced into …

This letter studies the problem of deep reinforcement learning (DRL)-based dynamic
spectrum anti-jamming access in overlay cognitive radio networks. To prevent secondary …

Wireless devices are vulnerable to malicious jammers due to the openness of the spectrum
environment. However, traditional anti-jamming approaches work on predetermined …