Collaborative data scheduling for vehicular edge computing via deep reinforcement learning
With the development of autonomous driving, the surging demand for data communications
as well as computation offloading from connected and automated vehicles can be expected …
as well as computation offloading from connected and automated vehicles can be expected …
Asynchronous deep reinforcement learning for collaborative task computing and on-demand resource allocation in vehicular edge computing
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …
Minimizing the delay and cost of computation offloading for vehicular edge computing
The development of autonomous driving poses significant demands on computing resource,
which is challenging to resource-constrained vehicles. To alleviate the issue, Vehicular …
which is challenging to resource-constrained vehicles. To alleviate the issue, Vehicular …
Deep reinforcement learning for collaborative edge computing in vehicular networks
Mobile edge computing (MEC) is a promising technology to support mission-critical
vehicular applications, such as intelligent path planning and safety applications. In this …
vehicular applications, such as intelligent path planning and safety applications. In this …
A deep reinforcement learning based computation offloading with mobile vehicles in vehicular edge computing
Vehicular edge networks involve edge servers that are close to mobile devices to provide
extra computation resource to complete the computation tasks of mobile devices with low …
extra computation resource to complete the computation tasks of mobile devices with low …
Joint service caching and computation offloading scheme based on deep reinforcement learning in vehicular edge computing systems
Vehicular edge computing (VEC) is a new computing paradigm that enhances vehicular
performance by introducing both computation offloading and service caching, to resource …
performance by introducing both computation offloading and service caching, to resource …
Federated-learning-empowered collaborative data sharing for vehicular edge networks
The Internet of Vehicles connects all vehicles and shares dynamic vehicular data via
wireless communications to effectively control vehicles and improve traffic efficiency …
wireless communications to effectively control vehicles and improve traffic efficiency …
Learning based energy efficient task offloading for vehicular collaborative edge computing
P Qin, Y Fu, G Tang, X Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Extensive delay-sensitive and computation-intensive tasks are involved in emerging
vehicular applications. These tasks can hardly be all processed by the resource constrained …
vehicular applications. These tasks can hardly be all processed by the resource constrained …
Deep-reinforcement-learning-based offloading scheduling for vehicular edge computing
Vehicular edge computing (VEC) is a new computing paradigm that has great potential to
enhance the capability of vehicle terminals (VTs) to support resource-hungry in-vehicle …
enhance the capability of vehicle terminals (VTs) to support resource-hungry in-vehicle …
Delay-optimized V2V-based computation offloading in urban vehicular edge computing and networks
The Internet of Vehicles (IoV) is an emerging paradigm, driven by recent advancements in
vehicular communications and networking. Meanwhile, the capability and intelligence of …
vehicular communications and networking. Meanwhile, the capability and intelligence of …