6G wireless communications networks: A comprehensive survey

M Alsabah, MA Naser, BM Mahmmod… - Ieee …, 2021 - ieeexplore.ieee.org
The commercial fifth-generation (5G) wireless communications networks have already been
deployed with the aim of providing high data rates. However, the rapid growth in the number …

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 …

Edge artificial intelligence for 6G: Vision, enabling technologies, and applications

KB Letaief, Y Shi, J Lu, J Lu - IEEE Journal on Selected Areas …, 2021 - ieeexplore.ieee.org
The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …

Resilient and safe platooning control of connected automated vehicles against intermittent denial-of-service attacks

X Ge, QL Han, Q Wu, XM Zhang - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Connected automated vehicles (CAVs) serve as a promising enabler for future intelligent
transportation systems because of their capabilities in improving traffic efficiency and driving …

Artificial intelligence for edge service optimization in internet of vehicles: A survey

X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …

On 5G-V2X use cases and enabling technologies: A comprehensive survey

A Alalewi, I Dayoub, S Cherkaoui - Ieee Access, 2021 - ieeexplore.ieee.org
5G technologies promise faster connections, lower latency, higher reliability, more capacity
and wider coverage. We are looking to rely on these technologies to achieve Vehicle-to …

Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization

H Du, R Zhang, Y Liu, J Wang, Y Lin, Z Li… - arxiv preprint arxiv …, 2023 - arxiv.org
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …

Topological graph convolutional network-based urban traffic flow and density prediction

H Qiu, Q Zheng, M Msahli, G Memmi… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
With the development of modern Intelligent Transportation System (ITS), reliable and
efficient transportation information sharing becomes more and more important. Although …

A collaborative V2X data correction method for road safety

L Zhao, H Chai, Y Han, K Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Driving safety is one of the most important points to concern on the road. Vehicles constantly
generate messages under vehicle-to-everything (V2X) assisted driving. Especially, in dense …

Autonomous vehicles security: Challenges and solutions using blockchain and artificial intelligence

G Bendiab, A Hameurlaine, G Germanos… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The arrival of autonomous vehicles (AVs) promises many great benefits, including increased
safety and reduced energy consumption, pollution, and congestion. However, these engines …