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 …

A survey of collaborative machine learning using 5G vehicular communications

SV Balkus, H Wang, BD Cornet… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
By enabling autonomous vehicles (AVs) to share data while driving, 5G vehicular
communications allow AVs to collaborate on solving common autonomous driving tasks …

A survey of beam management for mmWave and THz communications towards 6G

Q Xue, C Ji, S Ma, J Guo, Y Xu… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is
ushering in a new era of wireless communications. Beam management, namely initial …

Machine learning in beyond 5G/6G networks—State-of-the-art and future trends

VP Rekkas, S Sotiroudis, P Sarigiannidis, S Wan… - Electronics, 2021 - mdpi.com
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 …

Federated learning empowered computation offloading and resource management in 6G-V2X

SB Prathiba, G Raja, S Anbalagan… - … on Network Science …, 2021 - ieeexplore.ieee.org
Humankind's urbanization and luxuriousneed increase the number of vehicles day by day.
Alongside the advancement of technologies, autonomous vehicles have now come into a …

A survey of machine learning applications to handover management in 5G and beyond

MS Mollel, AI Abubakar, M Ozturk, SF Kaijage… - IEEE …, 2021 - ieeexplore.ieee.org
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …

A deep learning-based low overhead beam selection in mmWave communications

H Echigo, Y Cao, M Bouazizi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Due to large amounts of available spectrum at high frequencies, millimeter-wave (mmWave)
technology has gained extensive research attention in 5G communications, whereas …

On the performance of partial RIS selection vs. partial relay selection for vehicular communications

N Mensi, DB Rawat - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) has been introduced as a promising emerging
paradigm to design a smart radio environment for improving wireless capacity. It has the …

Artificial Intelligence and Machine Learning as key enablers for V2X communications: A comprehensive survey

M Christopoulou, S Barmpounakis, H Koumaras… - Vehicular …, 2023 - Elsevier
The automotive industry is undergoing a profound digital transformation to create
autonomous vehicles. Vehicle-to-Everything (V2X) communications enable the provisioning …

A literature survey on AI-aided beamforming and beam management for 5G and 6G systems

DS Brilhante, JC Manjarres, R Moreira… - Sensors, 2023 - mdpi.com
Modern wireless communication systems rely heavily on multiple antennas and their
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …