Terahertz (0.1-10 THz) communications are envisioned as a key technology for sixth
generation (6G) wireless systems. The study of underlying THz wireless propagation …

As the world warms up to the idea of millimeter wave (mmWave) communication and fifth
generation (5G) mobile networks, realization slowly dawns that the data rate, latency …

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 …

Radio maps characterize quantities of interest in radio communication environments, such
as the received signal strength and channel attenuation, at every point of a geographical …

Efficient and realistic indoor radio propagation modeling tools are inextricably intertwined
with the design and operation of next-generation wireless networks. Machine-learning (ML) …

Radio maps find numerous applications in wireless communications and mobile robotics
tasks, including resource allocation, interference coordination, and mission planning …

Accurately and efficiently modeling wireless channels, especially estimating path loss value,
is crucial to wireless system design and performance optimization. This paper proposes a …

Large bandwidth at millimeter wave (mm-wave) is crucial for fifth generation (5G) and
beyond, but the high path loss (PL) requires highly accurate PL prediction for network …

In order to support the future digital society, sixth generation (6G) network faces the
challenge to work efficiently and flexibly in a wider range of scenarios. The traditional way of …

Conventionally statistical path loss models are high-dimensional data-based without
utilizing specific environment features. In this letter, a novel environment features-based …