We are on the cusp of a new era of connected autonomous vehicles with unprecedented
user experiences, tremendously improved road safety and air quality, highly diverse …

Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …

The sensitivity of millimeter wave (mmWave) signals to blockages is a fundamental
challenge for mobile mmWave communication systems. The sudden blockage of the line-of …

This paper proposes a deep reinforcement learning-based video streaming scheme for
mobility-aware vehicular networks, eg, vehicles on the highway. We consider infrastructure …

By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …

As vehicle complexity and road congestion increase, combined with the emergence of
electric vehicles, the need for intelligent transportation systems to improve on-road safety …

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 …

In this paper, we design a mobility-aware user association strategy for millimeter-wave
(mmW) networks to overcome the limitations of the conventional received power (RSS) …

As data generation increasingly takes place on devices without a wired connection, Machine
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …

The exploitation of vehicles as mobile sensors acts as a catalyst for novel crowdsensing-
based applications such as intelligent traffic control and distributed weather forecast …