Beam Alignment in mmWave V2X communications: a Survey

J Tan, TH Luan, W Guan, Y Wang… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The digital transformation within the automotive industry is accelerating towards an era
dominated by autonomous vehicles, with vehicle-to-everything (V2X) communications being …

Decentralized federated learning for extended sensing in 6G connected vehicles

L Barbieri, S Savazzi, M Brambilla, M Nicoli - Vehicular Communications, 2022 - Elsevier
Research on smart connected vehicles has recently targeted the integration of vehicle-to-
everything (V2X) networks with Machine Learning (ML) tools and distributed decision …

LIDAR data for deep learning-based mmWave beam-selection

A Klautau, N González-Prelcic… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication systems can leverage information from sensors
to reduce the overhead associated with link configuration. Light detection and ranging …

An online context-aware machine learning algorithm for 5G mmWave vehicular communications

GH Sim, S Klos, A Asadi, A Klein… - IEEE/ACM Transactions …, 2018 - ieeexplore.ieee.org
Millimeter-Wave (mmWave) bands have become the de-facto candidate for 5G vehicle-to-
everything (V2X) since future vehicular systems demand Gbps links to acquire the …

Modeling and design of millimeter-wave networks for highway vehicular communication

A Tassi, M Egan, RJ Piechocki… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Connected and autonomous vehicles will play a pivotal role in future intelligent
transportation systems and smart cities, in general. High-speed and low-latency wireless …

Federated mmWave beam selection utilizing LIDAR data

MB Mashhadi, M Jankowski, TY Tung… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Efficient link configuration in millimeter wave (mmWave) communication systems is a crucial
yet challenging task due to the overhead imposed by beam selection. For vehicle-to …

FML: Fast machine learning for 5G mmWave vehicular communications

A Asadi, S Müller, GH Sim, A Klein… - IEEE INFOCOM 2018 …, 2018 - ieeexplore.ieee.org
Millimeter-Wave (mmWave) bands have become the de-facto candidate for 5G vehicle-to-
everything (V2X) since future vehicular systems demand Gbps links to acquire the …

Position and LIDAR-aided mmWave beam selection using deep learning

M Dias, A Klautau, N González-Prelcic… - 2019 IEEE 20th …, 2019 - ieeexplore.ieee.org
Modern communication systems may benefit from the availability of sensor data leveraged
by sophisticated machine learning algorithms. We recently described how LIDAR (light …

Position-specific statistics of 60 GHz vehicular channels during overtaking

E Zöchmann, M Hofer, M Lerch, S Pratschner… - Ieee …, 2019 - ieeexplore.ieee.org
The time-variant vehicle-to-vehicle radio propagation channel in the frequency band from
59.75 to 60.25 GHz has been measured in an urban street in the city center of Vienna …

Fastening the initial access in 5G NR sidelink for 6G V2X networks

M Mizmizi, F Linsalata, M Brambilla, F Morandi… - Vehicular …, 2022 - Elsevier
The ever-increasing demand for intelligent, automated, and connected mobility solutions
pushes for the development of innovative vehicular communications technology in the …