This article aims to examine the research trends in the development of mobile networks from
machine learning. The methodological approach starts from an analysis of 260 academic …

To have uninterrupted wireless connectivity, higher throughput, and latency rate down to
nanoseconds; future networks will rely heavily on higher frequency bands, yet these signals …

This paper studies the sum-rate maximization problem of a distributed reconfigurable
intelligent surface (RIS)-assisted full-duplex wireless system, where the availability of finite …

5G networks enable emerging latency and bandwidth critical applications like industrial IoT,
AR/VR, or autonomous vehicles, in addition to supporting traditional voice and data …

Abstract Reconfigurable Intelligent Surfaces have recently emerged as a revolutionary next-
generation wireless networks paradigm that harnesses engineered electromagnetic …

Smart services based on the Internet of Things (IoT) are likely to grow in popularity in the
forthcoming years, necessitating the improvement of fifth-generation (5G) cellular networks …

With the commercialization of the fifth generation mobile networks, researchers are now
focusing on discovering the potential key techniques of the next generation mobile networks …

This study proposes the utilization of quantum machine learning (QML) to maximize the
energy efficiency of reconfigurable intelligent surface (RIS) assisted communication with rate …

Machine learning (ML) algorithms have been widely used to improve the performance of
telecommunications systems, including reconfigurable intelligent surface (RIS)-assisted …

The integration of Smart Surfaces in 6G communication networks, also dubbed as
Reconfigurable Intelligent Surfaces (RISs), is a promising paradigm change gaining …