Intelligent Online Caching Strategy in 6G-Enhanced Automated Vehicular Communications

P Saikia, GY Wang, K Singh, SK Singh… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
The rapid development of sixth-generation (6G) may contribute to the near-reality of
autonomous driving. The amount of work and leisure time that drivers and passengers …

A -Learning-Based Proactive Caching Strategy for Non-Safety Related Services in Vehicular Networks

L Hou, L Lei, K Zheng, X Wang - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
Content caching has brought huge potential for the provisioning of non-safety related
infotainment services in future vehicular networks. Assisted by multiaccess edge computing …

Deep reinforcement learning for edge caching with mobility prediction in vehicular networks

Y Choi, Y Lim - Sensors, 2023 - mdpi.com
As vehicles are connected to the Internet, various services can be provided to users.
However, if the requests of vehicle users are concentrated on the remote server, the …

Edge Caching Based on Deep Reinforcement Learning in Vehicular Networks

Y Choi, Y Lim - 2022 IEEE 4th Eurasia Conference on IOT …, 2022 - ieeexplore.ieee.org
As vehicles are connected to the Internet, various services such as infotainment and
automated driving can be provided. However, these services require a large amount of data …

Artificial intelligence empowered edge computing and caching for internet of vehicles

Y Dai, D Xu, S Maharjan, G Qiao… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
Recent advances in edge computing and caching have significant impacts on the
developments of vehicular networks. Nevertheless, the heterogeneous requirements of on …

Meta-reinforcement learning for edge caching in vehicular networks

H Sakr, M Elsabrouty - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Content caching to local repositories closer to the user can significantly improve the
utilization of the backbone network, reduce latency, and improve reliability. Nevertheless …

Toward efficient content delivery for automated driving services: An edge computing solution

Q Yuan, H Zhou, J Li, Z Liu, F Yang, XS Shen - IEEE Network, 2018 - ieeexplore.ieee.org
Automated driving is coming with enormous potential for safer, more convenient, and more
efficient transportation systems. Besides onboard sensing, autonomous vehicles can also …

Mobility prediction based vehicular edge caching: a deep reinforcement learning based approach

K An, X Yan, T Liang, W Lu - 2019 IEEE 19th International …, 2019 - ieeexplore.ieee.org
Caching on edge nodes can effectively reduce the burden on the Internet of Vehicles (IoV)
networks. However, the inherent limitations of IoV networks, such as restricted storage …

Asynchronous federated learning based mobility-aware caching in vehicular edge computing

W Wang, Y Zhao, Q Wu, Q Fan… - 2022 14th International …, 2022 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a promising technology to support real-time applications
through caching the contents in the roadside units (RSUs), thus vehicles can fetch the …

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 …