V2X cooperative perception for autonomous driving: Recent advances and challenges

T Huang, J Liu, X Zhou, DC Nguyen… - arXiv preprint arXiv …, 2023 - arxiv.org
Accurate perception is essential for advancing autonomous driving and addressing safety
challenges in modern transportation systems. Despite significant advancements in computer …

Intelligent charging station in 5G environments: Challenges and perspectives

MS Răboacă, N Bizon… - International Journal of …, 2021 - Wiley Online Library
The popularity of the electric vehicles has been growing due to the concern of increase in
environmental pollution. In order to overcome the environmental issues, electric vehicles …

An energy-efficient data offloading strategy for 5G-enabled vehicular edge computing networks using double deep Q-network

K Moghaddasi, S Rajabi… - Wireless Personal …, 2023 - Springer
In the era of fifth-generation (5G)-enabled vehicular edge computing (VEC), efficient data
offloading strategies are essential. The complexities inherent in this environment, such as …

Examination of a non-orthogonal multiple access scheme for next generation wireless networks

R Shankar - The Journal of Defense Modeling and …, 2022 - journals.sagepub.com
Non-orthogonal multiple access (NOMA) is an important technique that enables fifth-
generation (5G) wireless systems to satisfy the heterogeneous requirements of enhanced …

Wireless Access for V2X Communications: Research, Challenges and Opportunities

J Clancy, D Mullins, B Deegan, J Horgan… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Autonomous vehicles and Intelligent Transport Systems (ITS) have started to become a
reality in recent years. However, shortcomings of these early intelligent vehicles …

Deep learning for Parametric Channel Estimation in massive MIMO systems

MU Zia, W Xiang, GM Vitetta… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Massive Multiple-Input Multiple-Output (MIMO) communication with a low bit error rate
depends upon the availability of accurate Channel State Information (CSI) at the base …

Road crack avoidance: a convolutional neural network-based smart transportation system for intelligent vehicles

M Haider, MK Peyal, T Huang… - Journal of Intelligent …, 2023 - Taylor & Francis
Prediction using computer vision is getting prevalent nowadays because of satisfying
results. The vision of Internet of Vehicles (IoV) expedites Vehicle to everything (V2X) …

Insights into Simulated Smart Mobility on Roundabouts: Achievements, Lessons Learned, and Steps Ahead

ML Tumminello, E Macioszek, A Granà - Sustainability, 2024 - mdpi.com
This paper explores the domain of intelligent transportation systems, specifically focusing on
roundabouts as potential solutions in the context of smart mobility. Roundabouts offer a safer …

The evolution of detection systems and their application for intelligent transportation systems: From solo to symphony

Z Shao, K Yang, P Sun, Y Hu, A Boukerche - Computer Communications, 2024 - Elsevier
The emergence of autonomous driving technologies has been significantly influenced by
advancements in perception systems. Traditional single-agent detection models, while …

Deep Unfolding Scheme for Grant-Free Massive-Access Vehicular Networks

X Dang, W Xiang, L Yuan, Y Yang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Grant-free random access is an effective solution to enable massive access for future
Internet of Vehicles (IoV) scenarios based on massive machine-type communication …