Deep learning based caching for self-driving cars in multi-access edge computing
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 …
and spaces that can be used for enhanced infotainment services. For traveling people, self …
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 …
CoPace: Edge computation offloading and caching for self-driving with deep reinforcement learning
Currently, self-driving, emerging as a key automatic application, has brought a huge
potential for the provision of in-vehicle services (eg, automatic path planning) to mitigate …
potential for the provision of in-vehicle services (eg, automatic path planning) to mitigate …
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 …
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 …
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 …
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 …
Proactive content caching by exploiting transfer learning for mobile edge computing
To address the vast multimedia traffic volume and requirements of user quality of experience
in the next‐generation mobile communication system (5G), it is imperative to develop …
in the next‐generation mobile communication system (5G), it is imperative to develop …
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 …
Online proactive caching in mobile edge computing using bidirectional deep recurrent neural network
With emergence of Internet of Things (IoT), wireless traffic has grown dramatically, posing
severe strain on core network and backhaul bandwidth. Proactive caching in mobile edge …
severe strain on core network and backhaul bandwidth. Proactive caching in mobile edge …