Collaborative caching relay algorithm based on recursive deep reinforcement learning in mobile vehicle edge network

H Wu, B Wang, H Ma, L Xing - Ad Hoc Networks, 2024 - Elsevier
With the rapid development of Internet of vehicles (IoV) and the continuous emergence of
vehicle information applications, the demand for content in vehicle networking is growing at …

Multi-Agent Federated Deep Reinforcement Learning Based Collaborative Caching Strategy for Vehicular Edge Networks

H Wu, B Wang, H Ma, X Zhang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the rapid advancement of in-vehicle communication technology, vehicular edge
caching has garnered considerable attention as a pivotal technology to improve the …

[PDF][PDF] Deep Reinforcement Learning Empowered Edge Collaborative Caching Scheme for Internet of Vehicles.

X Liu, S Xu, C Yang, Z Wang, H Zhang… - Comput. Syst. Sci …, 2022 - cdn.techscience.cn
With the development of internet of vehicles, the traditional centralized content caching
mode transmits content through the core network, which causes a large delay and cannot …

Deep reinforcement learning for cooperative edge caching in vehicular networks

Y Xing, Y Sun, L Qiao, Z Wang, P Si… - 2021 13th International …, 2021 - ieeexplore.ieee.org
In order to enable more and more multimedia content to be shared in the vehicular network,
edge caching is a promising approach to cache content near the vehicles to reduce the …

Cooperative caching strategy based mobile vehicle social‐aware in internet of vehicles

C Kan, H Wu, L Xing, H Ma - Transactions on Emerging …, 2023 - Wiley Online Library
The dramatic growth of smart in‐vehicle applications in the Internet of Vehicles and the
increasing quality of experience for vehicle users have put a huge traffic load on the mobile …

Federation-based deep reinforcement learning cooperative cache in vehicular edge networks

H Wu, J Jin, H Ma, L Xing - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the emergence of a large number of computing resource-intensive applications and a
variety of content delivery services, data in Internet of Vehicles (IoV) is exploding. In order to …

Social-Aware Decentralized Cooperative Caching for Internet of Vehicles

H Wu, Y Fan, J Jin, H Ma, L Xing - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
As the industry related to intelligent vehicles becomes increasingly mature, emerging in-
vehicle applications and services are mushrooming. They have strict requirements on …

Towards cooperative caching for vehicular networks with multi-level federated reinforcement learning

L Zhao, Y Ran, H Wang, J Wang… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
Content caching in vehicular networks is a promising technology to dramatically reduce the
request-response time and transmission delay. The existing caching policies often suffer …

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 …

Mobility-aware cooperative caching in vehicular edge computing based on asynchronous federated and deep reinforcement learning

Q Wu, Y Zhao, Q Fan, P Fan, J Wang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Vehicular edge computing (VEC) can learn and cache most popular contents for vehicular
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …