The continuing expansion of connected and electro-mobility products and services has led
to their ability to rapidly generate very large amounts of data, leading to a demand for …

The focus of this white paper is on machine learning (ML) in wireless communications. 6G
wireless communication networks will be the backbone of the digital transformation of …

In the Internet of Vehicles (IoV), numerous potential applications have come up with the use
of the Internet of Things (IoT)-empowered smart devices. In IoV, vehicles, roads, street signs …

As the automotive and telecommunication industries advance, more vehicles are becoming
connected, leading to the realization of intelligent transportation systems (ITS). Vehicular ad …

Methods for accurate prediction of radio signal quality parameters are crucial for
optimization of mobile networks, and a necessity for future autonomous driving solutions …

To achieve a real-time optimization of the economic and dynamic performance for electric
vehicles equipped with the dual-motor powertrain system, this study proposed a hierarchical …

Machine learning-based data rate prediction is one of the key drivers for anticipatory mobile
networking with applications such as dynamic Radio Access Technology (RAT) selection …

To improve the performance and efficiency of the energy management strategy used in
electric vehicles equipped with a dual-motor coupled powertrain platform, this study …

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

Exploiting big data knowledge on small devices will pave the way for building truly cognitive
Internet of Things (IoT) systems. Although machine learning has led to great advancements …