Novel edge caching approach based on multi-agent deep reinforcement learning for internet of vehicles
D Zhang, W Wang, J Zhang, T Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Along with the development of Internet of Vehicles (IoV) and wireless technology, the usage
of applications that require low latency, such as autonomous driving and intelligent …
of applications that require low latency, such as autonomous driving and intelligent …
Multi-agent reinforcement learning for cooperative edge caching in internet of vehicles
Edge caching has been emerged as a promising solution to alleviate the redundant traffic
and the content access latency in the future Internet of Vehicles (IoVs). Several …
and the content access latency in the future Internet of Vehicles (IoVs). Several …
Distributed deep multi-agent reinforcement learning for cooperative edge caching in internet-of-vehicles
Edge caching is a promising approach to reduce duplicate content transmission in Internet-
of-Vehicles (IoVs). Several Reinforcement Learning (RL) based edge caching methods have …
of-Vehicles (IoVs). Several Reinforcement Learning (RL) based edge caching methods have …
Cooperative caching strategy with content request prediction in Internet of Vehicles
R Wang, Z Kan, Y Cui, D Wu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In order to mitigate the impact of explosively increasing data traffic on content request
services in the Internet of Vehicles (IoV), edge caching technology is implemented in IoV to …
services in the Internet of Vehicles (IoV), edge caching technology is implemented in IoV to …
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 …
information on vehicles, roads and pedestrians. One of the important uses of vehicle …
Deep reinforcement learning for cooperative content caching in vehicular edge computing and networks
In this article, we propose a cooperative edge caching scheme, a new paradigm to jointly
optimize the content placement and content delivery in the vehicular edge computing and …
optimize the content placement and content delivery in the vehicular edge computing and …
A -Learning-Based Proactive Caching Strategy for Non-Safety Related Services in Vehicular Networks
Content caching has brought huge potential for the provisioning of non-safety related
infotainment services in future vehicular networks. Assisted by multiaccess edge computing …
infotainment services in future vehicular networks. Assisted by multiaccess edge computing …
Intelligent content caching strategy in autonomous driving toward 6G
The rapid development of 6G can help to bring autonomous driving closed to the reality.
Drivers and passengers will have more time for work and leisure spending in the vehicles …
Drivers and passengers will have more time for work and leisure spending in the vehicles …
Delay-aware caching in internet-of-vehicles networks
With the emergence of a large number of computational resource-intensive applications and
various content delivery services, there is an explosion of data growth in the Internet of …
various content delivery services, there is an explosion of data growth in the Internet of …
Mobility-aware cooperative caching in vehicular edge computing based on asynchronous federated and deep reinforcement learning
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 …
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …