AI-empowered content caching in vehicular edge computing: Opportunities and challenges

MA Javed, S Zeadally - IEEE network, 2021 - ieeexplore.ieee.org
Vehicular networks are an indispensable component of future autonomous and intelligent
transport systems. Today, many vehicular networking applications are emerging, and …

Computation offloading and resource allocation for cloud assisted mobile edge computing in vehicular networks

J Zhao, Q Li, Y Gong, K Zhang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Computation offloading services provide required computing resources for vehicles with
computation-intensive tasks. Past computation offloading research mainly focused on …

Vehicular edge computing and networking: A survey

L Liu, C Chen, Q Pei, S Maharjan, Y Zhang - Mobile networks and …, 2021 - Springer
As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network
(VANET) has received remarkable interest from academia and industry. The emerging …

Mobility-aware proactive edge caching for connected vehicles using federated learning

Z Yu, J Hu, G Min, Z Zhao, W Miao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Content Caching at the edge of vehicular networks has been considered as a promising
technology to satisfy the increasing demands of computation-intensive and latency-sensitive …

Deep learning serves traffic safety analysis: A forward‐looking review

A Razi, X Chen, H Li, H Wang, B Russo… - IET Intelligent …, 2023 - Wiley Online Library
This paper explores deep learning (DL) methods that are used or have the potential to be
used for traffic video analysis, emphasising driving safety for both autonomous vehicles and …

UAV-assisted content delivery in intelligent transportation systems-joint trajectory planning and cache management

A Al-Hilo, M Samir, C Assi… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are gaining growing interests due to the paramount roles
they play, particularly these days, in enabling new services that help modernize our …

Mobile edge computing for V2X architectures and applications: A survey

L Bréhon–Grataloup, R Kacimi, AL Beylot - Computer Networks, 2022 - Elsevier
In mobile environments, with the help of larger bandwidths and cloud computing solutions,
any task can be offloaded from a mobile user equipment to be handled remotely. However …

Deep learning based caching for self-driving cars in multi-access edge computing

A Ndikumana, NH Tran, KT Kim… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Without steering wheel and driver's seat, the self-driving cars will have new interior outlook
and spaces that can be used for enhanced infotainment services. For traveling people, self …

An edge caching scheme to distribute content in vehicular networks

Z Su, Y Hui, Q Xu, T Yang, J Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Vehicular content networks (VCNs), which distribute medium-volume contents to vehicles in
a fully distributed manner, represent the key enabling technology of vehicular infotainment …

QoE-driven edge caching in vehicle networks based on deep reinforcement learning

C Song, W Xu, T Wu, S Yu, P Zeng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The Internet of vehicles (IoV) is a large information interaction network that collects
information on vehicles, roads and pedestrians. One of the important uses of vehicle …