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 …

As an integral part of the electromagnetic system, antennas are becoming more advanced
and versatile than ever before, thus making it necessary to adopt new techniques to …

Increased demand for higher spectrum efficiency, especially in the space-limited chip, base
station, and vehicle environments, has spawned the development of full-duplex …

In this communication, a novel dual-polarized highly folded self-grounded Bowtie antenna
that is excited through I-shaped slots is proposed for applications in sub-6 GHz 5G multiple …

To provide higher data rates, as well as better coverage, cost efficiency, security,
adaptability, and scalability, the 5G and beyond 5G networks are developed with various …

This paper presents a compact and simple reconfigurable antenna with wide-band, dual-
band, and single-band operating modes. Initially, a co-planar waveguide-fed triangular …

Electromagnetic (EM) simulation tools have become indispensable in the design of
contemporary antennas. Still, the major setback of EM-driven design is the associated …

A metasurface (MS)-inspired low-profile circularly polarized (CP) slot array with a wide CP
band and broadband low radar cross section (RCS) is proposed in this communication. The …

A novel broadband matching and decoupling network (MDN) for symmetric two-element
array of microstrip patch antennas is proposed. As a distributed multiple inductive-capacitive …

Deep learning (DL)-based channel state information (CSI) feedback improves the capacity
and energy efficiency of massive multiple-input multiple-output (MIMO) systems in frequency …