6G for vehicle-to-everything (V2X) communications: Enabling technologies, challenges, and opportunities

M Noor-A-Rahim, Z Liu, H Lee, MO Khyam… - Proceedings of the …, 2022 - ieeexplore.ieee.org
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 …

Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges

F Tang, B Mao, N Kato, G Gui - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …

Future intelligent and secure vehicular network toward 6G: Machine-learning approaches

F Tang, Y Kawamoto, N Kato, J Liu - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …

Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning

S Szott, K Kosek-Szott, P Gawłowicz… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …

A taxonomy of AI techniques for 6G communication networks

K Sheth, K Patel, H Shah, S Tanwar, R Gupta… - Computer …, 2020 - Elsevier
With 6G flagship program launched by the University of Oulu, Finland, for full future
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …

Millimeter-wave communication for internet of vehicles: status, challenges, and perspectives

KZ Ghafoor, L Kong, S Zeadally… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The Internet of Vehicles has attracted a lot of attention in the automotive industry and
academia recently. We are witnessing rapid advances in vehicular technologies that …

Radar aided 6G beam prediction: Deep learning algorithms and real-world demonstration

U Demirhan, A Alkhateeb - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
Adjusting the narrow beams at millimeter wave (mmWave) and terahertz (THz) MIMO
communication systems is associated with high beam training overhead, which makes it …

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 …

Online learning for position-aided millimeter wave beam training

V Va, T Shimizu, G Bansal, RW Heath - IEEE Access, 2019 - ieeexplore.ieee.org
Accurate beam alignment is essential for the beam-based millimeter wave communications.
The conventional beam swee** solutions often have large overhead, which is …

Deep learning-based beam management and interference coordination in dense mmWave networks

P Zhou, X Fang, X Wang, Y Long… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Due to severe signal pathloss in millimeter wave (mmWave) band, beamforming enabled
directional transmission is critical to overcome the attenuation challenge in future mmWave …