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 …
Energy-delay minimization of task migration based on game theory in MEC-assisted vehicular networks
Roadside units (RSUs), which have strong computing capability and are close to vehicle
nodes, have been widely used to process delay-and computation-intensive tasks of vehicle …
nodes, have been widely used to process delay-and computation-intensive tasks of vehicle …
Task replication for vehicular edge computing: A combinatorial multi-armed bandit based approach
In a vehicular edge computing (VEC) system, some vehicles with surplus computing
resources can provide computation task offloading opportunities for other vehicles or …
resources can provide computation task offloading opportunities for other vehicles or …
A digital twin-assisted intelligent partial offloading approach for vehicular edge computing
Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile Edge
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …
Intelligent computation offloading for MEC-based cooperative vehicle infrastructure system: A deep reinforcement learning approach
In the cooperative vehicle infrastructure system, the road side unit (RSU) equipped with a
mobile edge computing (MEC) server and sensors could provide vehicle infrastructure …
mobile edge computing (MEC) server and sensors could provide vehicle infrastructure …
Deep reinforcement learning-based adaptive computation offloading for MEC in heterogeneous vehicular networks
H Ke, J Wang, L Deng, Y Ge… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The vehicular network needs efficient and reliable data communication technology to
maintain low latency. It is very challenging to minimize the energy consumption and data …
maintain low latency. It is very challenging to minimize the energy consumption and data …
[HTML][HTML] Joint offloading decision and resource allocation in vehicular edge computing networks
S Wang, X Song, H Xu, T Song, G Zhang… - Digital Communications …, 2023 - Elsevier
With the rapid development of Intelligent Transportation Systems (ITS), many new
applications for Intelligent Connected Vehicles (ICVs) have sprung up. In order to tackle the …
applications for Intelligent Connected Vehicles (ICVs) have sprung up. In order to tackle the …
Adaptive learning-based task offloading for vehicular edge computing systems
The vehicular edge computing system integrates the computing resources of vehicles, and
provides computing services for other vehicles and pedestrians with task offloading …
provides computing services for other vehicles and pedestrians with task offloading …
Digital twin-assisted resource allocation framework based on edge collaboration for vehicular edge computing
Abstract Vehicular Edge Computing (VEC) supports latency-sensitive and computation-
intensive vehicular applications by providing caching and computing services in vehicle …
intensive vehicular applications by providing caching and computing services in vehicle …
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 …