Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
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 …
communications allow AVs to collaborate on solving common autonomous driving tasks …
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
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 …
and transportation around the world for many years to come. However, with the rapid growth …
Open, programmable, and virtualized 5G networks: State-of-the-art and the road ahead
Fifth generation (5G) cellular networks will serve a wide variety of heterogeneous use cases,
including mobile broadband users, ultra-low latency services and massively dense …
including mobile broadband users, ultra-low latency services and massively dense …
DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications
A Alkhateeb - arXiv preprint arXiv:1902.06435, 2019 - arxiv.org
Machine learning tools are finding interesting applications in millimeter wave (mmWave)
and massive MIMO systems. This is mainly thanks to their powerful capabilities in learning …
and massive MIMO systems. This is mainly thanks to their powerful capabilities in learning …
Deep learning for B5G open radio access network: Evolution, survey, case studies, and challenges
Open Radio Access Network (O-RAN) alliance was recently launched to devise a new RAN
architecture featuring open, software-driven, virtual, and intelligent radio access architecture …
architecture featuring open, software-driven, virtual, and intelligent radio access architecture …
A taxonomy of AI techniques for 6G communication networks
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 …
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …
From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …
demand for even faster communication networks, we expected to witness the birth of a new …
Mobility support for millimeter wave communications: Opportunities and challenges
Millimeter-wave (mmWave) communication technology offers a potential and promising
solution to support 5G and B5G wireless networks in dynamic scenarios and applications …
solution to support 5G and B5G wireless networks in dynamic scenarios and applications …
A survey of machine learning applications to handover management in 5G and beyond
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 …
networks that need to be properly managed since it poses multiple threats to quality-of …