This review paper provides an overview of the latest developments in artificial intelligence
(AI)-based antenna design and optimization for wireless communications. Machine learning …

The goal of this paper is the performance evaluation of a deep learning approach when
deployed in fifth-generation (5G) millimeter wave (mmWave) multicellular networks. To this …

Operators are forced to investigate various capacity enhancement options as a result of the
rapid increase in mobile network data volume. As a result, modern 5G networks became …

This paper presents a comparison between compressed sensing (CS) and auto-encoder
(AE) for compression and restoration of signals. The study used K-sparse vectors and …

Objective: To evaluate and compare the image quality of T2-weighted abdominal scans
using a respiratory belt trigger (RBT) and frequency-modulated continuous wave (FMCW) …

The rapid development of 6G millimeter-wave (mmWave) networks has introduced new
challenges for network security. Adversarial attacks on beamforming algorithms in these …

Enabling high mobility in millimeter-wave (mmWave) systems is crucial for next-generation
wireless communication systems. Challenges arise in applications such as vehicular …

Résumé Aujourd'hui, le transport routier est essentiel à nos routines quotidiennes et à nos
activités commerciales. Cependant, la croissance exponentielle du nombre de véhicules a …

Abstract Vehicular Ad-Hoc Networks (VANETs) are regarded as a leading technology that
enhances the effectiveness and security of contemporary transportation networks. The …