Water covers 71% of the Earth's surface, where the steady increase in oceanic activities has
promoted the need for reliable maritime communication technologies. The existing maritime …

Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute
an extensively-researched machine learning sub-field for the creation of synthetic data …

This two-part paper investigates the application of artificial intelligence (AI) and, in particular,
machine learning (ML) to the study of wireless propagation channels. In Part I of this article …

Reconfigurable intelligent surfaces (RISs) are 2-D metasurfaces, which can intelligently
manipulate electromagnetic waves by low-cost near passive reflecting elements. RIS is …

Terahertz (THz) communications with a frequency band 0.1–10 THz are envisioned as a
promising solution to future high-speed wireless communication. Although with tens of …

Existing communication networks have inherent limitations in translation theory and adapt to
address the complexity of repairing new remote applications at the highest possible level …

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 …

Unmanned aerial vehicle (UAV)-to-ground (U2G) channel models play a pivotal role in
reliable communications between UAV and ground terminal. This paper proposes a three …

In this paper, a novel experienced deep reinforcement learning (deep-RL) framework is
proposed to provide model-free resource allocation for ultra reliable low latency …

Advances in communication technologies and artificial intelligence are accelerating the
paradigm of industrial Internet of Things (IIoT). With IIoT enabling continuous integration of …