6G for vehicle-to-everything (V2X) communications: Enabling technologies, challenges, and opportunities
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 …
user experiences, tremendously improved road safety and air quality, highly diverse …
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 …
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 …
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 physical-layer 5G wireless techniques: Opportunities, challenges and solutions
The new demands for high-reliability and ultra-high capacity wireless communication have
led to extensive research into 5G communications. However, current communication …
led to extensive research into 5G communications. However, current communication …
AI for UAV-assisted IoT applications: A comprehensive review
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …
Machine learning for large-scale optimization in 6g wireless networks
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
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 …
A survey of 5G network systems: challenges and machine learning approaches
Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …
emerging services. These services bring new requirements and challenges that obstruct the …
OrchestRAN: Network automation through orchestrated intelligence in the open RAN
The next generation of cellular networks will be characterized by softwarized, open, and
disaggregated architectures exposing analytics and control knobs to enable network …
disaggregated architectures exposing analytics and control knobs to enable network …