A comprehensive survey on vehicular networking: Communications, applications, challenges, and upcoming research directions

NH Hussein, CT Yaw, SP Koh, SK Tiong… - IEEE Access, 2022 - ieeexplore.ieee.org
Nowadays, advanced communication technologies are being utilized to develop intelligent
transportation management and driving assistance. Through the ability to exchange traffic …

[HTML][HTML] Artificial intelligence (AI) and machine learning for multimedia and edge information processing

JKP Seng, KL Ang, E Peter, A Mmonyi - Electronics, 2022 - mdpi.com
The advancements and progress in artificial intelligence (AI) and machine learning, and the
numerous availabilities of mobile devices and Internet technologies together with the …

Joint task offloading and resource optimization in noma-based vehicular edge computing: A game-theoretic drl approach

X Xu, K Liu, P Dai, F Jin, H Ren, C Zhan… - Journal of Systems …, 2023 - Elsevier
Vehicular edge computing (VEC) becomes a promising paradigm for the development of
emerging intelligent transportation systems. Nevertheless, the limited resources and …

Decentralized optimization for multicast adaptive video streaming in edge cache-assisted networks

L Zhong, M Wang, C Xu, S Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Adaptive streaming based on DASH offers personalized video experience and smooth
playback by allowing dynamical adjustments of the video bitrate to the variations of network …

Joint computing, pushing, and caching optimization for mobile edge computing networks via soft actor-critic learning

X Gao, Y Sun, H Chen, X Xu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) networks bring computing and storage capabilities closer to
edge devices, which reduces latency and improves network performance. However, to …

Meta reinforcement learning for multi-task offloading in vehicular edge computing

P Dai, Y Huang, K Hu, X Wu, H Xing… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Mobile edge computing has been a promising solution to enable real-time service in
vehicular networks. However, due to high dynamics of mobile environment and …

A Vehicle-Road Urban Sensing Framework for Collaborative Content Delivery in Freeway-Oriented Vehicular Networks

X Zhu, Q Hua, W Yan, Z Guo, K Yu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
The urban sensing provides a fundamental computing environment for smart cities, in which
ubiquitous vehicular networks are an important component. Due to the limitation of urban …

Integration of Sensing, Communication and Computing for Metaverse: A Survey

X Wang, Q Guo, Z Ning, L Guo, G Wang, X Gao… - ACM Computing …, 2024 - dl.acm.org
The metaverse is an Artificial Intelligence (AI)-generated virtual world, in which people can
game, work, learn and socialize. The realization of metaverse not only requires a large …

Collaborative intelligence enabled routing in green IoV: A grid and vehicle density prediction based protocol

B Liu, Y Sheng, X Shao, Y Ji, W Han… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Green Internet of Vehicles (IoV) is a newly-emerged research area which focuses on
reducing networking overhead and improving communication efficiency in future vehicular …

O-RAN Slicing for Multi-Service Resource Allocation in Vehicular Networks

Y Cui, X Yang, P He, D Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The automobile industries are undergoing a technological revolution, which has facilitated
the emergence of multiple Vehicle-to-Everything (V2X) applications with diverse Quality of …