Machine learning (ML) is an important component for enabling automation in radio access
networks (RANs). The work on applying ML for RAN has been under development for …

An expected plethora of demanding services and use cases mandates a revolutionary shift
in the way future wireless network resources are managed. Indeed, when application …

Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

With the deployment of 5G networks, standards organizations have started working on the
design phase for 6G networks. 6G networks will be immensely complex, requiring more …

This white paper discusses various topics, advances, and projections regarding machine
learning (ML) in wireless communications. Sixth generation (6G) wireless communications …

5G and beyond cellular networks promise remarkable advancements in bandwidth, latency,
and connectivity. The emergence of Open Radio Access Network (O-RAN) represents a …

Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

The primary focus of Artificial Intelligence/Machine Learning (AI/ML) integration within the
wireless technology is to reduce capital expenditures, optimize network performance, and …

The energy consumption and carbon footprint of the fifth-generation (5G) of mobile
technology is a current concern to mobile network operators (MNOs). These are currently …

In this article, we advocate for the design of ad hoc artificial intelligence (AI)/machine
learning (ML) models to facilitate their usage in future smart infrastructures based on …