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 …
autonomous vehicles. Vehicle-to-Everything (V2X) communications enable the provisioning …
Network Latency in Teleoperation of Connected and Autonomous Vehicles: A Review of Trends, Challenges, and Mitigation Strategies
With remarkable advancements in the development of connected and autonomous vehicles
(CAVs), the integration of teleoperation has become crucial for improving safety and …
(CAVs), the integration of teleoperation has become crucial for improving safety and …
[HTML][HTML] Deep Learning for Predicting Traffic in V2X Networks
AR Abdellah, A Muthanna, MH Essai, A Koucheryavy - Applied Sciences, 2022 - mdpi.com
Artificial intelligence (AI) is capable of addressing the complexities and difficulties of fifth-
generation (5G) mobile networks and beyond. In this paradigm, it is important to predict …
generation (5G) mobile networks and beyond. In this paradigm, it is important to predict …
Content-Aware Network Traffic Prediction Framework for Quality of Service-Aware Dynamic Network Resource Management
Next-generation mobile networks, such as Fifth-Generation (5G), and Sixth-Generation (6G)
are envisioned to undergo an unprecedented transformation from connected things to …
are envisioned to undergo an unprecedented transformation from connected things to …
Informer-based QoS prediction for V2X communication: A method with verification using reality field test data
Y Xu, Y Shi, Y Ge, S Chen, L Wang - Computer Networks, 2023 - Elsevier
Abstract Vehicle-to-everything (V2X) communication plays a critical role in connected and
automated driving applications, which requires strict Quality of Service (QoS) performance in …
automated driving applications, which requires strict Quality of Service (QoS) performance in …
A deep learning approach for distributed qos prediction in beyond 5G networks
L Magoula, N Koursioumpas… - 2022 IEEE 33rd …, 2022 - ieeexplore.ieee.org
Beyond 5G networks bring a new era in system automation, by introducing new and
demanding, in terms of Quality of Service (QoS), use cases and applications. Predicting the …
demanding, in terms of Quality of Service (QoS), use cases and applications. Predicting the …
Machine learning aided NR-V2X quality of service predictions
A Reyhanoglu, E Kar, FE Kumec… - 2023 IEEE Vehicular …, 2023 - ieeexplore.ieee.org
Vehicle-to-Everything Communication (V2X) technologies aim to meet strict quality-of-
service (QoS) requirements of vehicular connectivity applications such as safety message …
service (QoS) requirements of vehicular connectivity applications such as safety message …
Prediction of communication delays in connected vehicles and platoons
Automated vehicles connected through vehicle-to-vehicle communications can use onboard
sensor information from adjacent vehicles to provide higher traffic safety or passenger …
sensor information from adjacent vehicles to provide higher traffic safety or passenger …
Network Optimization Aspects of Autonomous Vehicles: Challenges and Future Directions
Global megatrends, such as urbanization, population growth, and emerging network
solutions are accelerating the development of the Connected and Autonomous Vehicles …
solutions are accelerating the development of the Connected and Autonomous Vehicles …
DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks
Beyond 5G and 6G networks are expected to support new and challenging use cases and
applications that depend on a certain level of Quality of Service (QoS) to operate smoothly …
applications that depend on a certain level of Quality of Service (QoS) to operate smoothly …