Double deep Q-network based dynamic framing offloading in vehicular edge computing
With the rapid development of Artificial Intelligence (AI) and the Internet of Vehicles (IoV),
there is an increasing demand for deploying various intelligent applications on vehicles …
there is an increasing demand for deploying various intelligent applications on vehicles …
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 …
Toward reliable DNN-based task partitioning and offloading in vehicular edge computing
Modern vehicles have become typical consumer electronics with the development of
sensing, transmission, and computation technologies. The emerging intelligent …
sensing, transmission, and computation technologies. The emerging intelligent …
Adaptive swarm intelligent offloading based on digital twin-assisted prediction in VEC
Vehicular Edge Computing (VEC) is the transportation version of Mobile Edge Computing
(MEC). In VEC, task offloading enables vehicles to offload computing tasks to nearby …
(MEC). In VEC, task offloading enables vehicles to offload computing tasks to nearby …
Handover-enabled dynamic computation offloading for vehicular edge computing networks
The computation offloading technique is a promising solution that empowers
computationally limited resource devices to run delay-constrained applications efficiently …
computationally limited resource devices to run delay-constrained applications efficiently …
Computation offloading strategy based on deep reinforcement learning for connected and autonomous vehicle in vehicular edge computing
B Lin, K Lin, C Lin, Y Lu, Z Huang, X Chen - Journal of Cloud Computing, 2021 - Springer
Abstract Connected and Automated Vehicle (CAV) is a transformative technology that has
great potential to improve urban traffic and driving safety. Electric Vehicle (EV) is becoming …
great potential to improve urban traffic and driving safety. Electric Vehicle (EV) is becoming …
Deep reinforcement learning for shared offloading strategy in vehicle edge computing
X Peng, Z Han, W Xie, C Yu, P Zhu, J Xiao… - IEEE Systems …, 2022 - ieeexplore.ieee.org
Vehicular edge computing (VEC) effectively reduces the computing load of vehicles by
offloading computing tasks from vehicle terminals to edge servers. However, offloading of …
offloading computing tasks from vehicle terminals to edge servers. However, offloading of …
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 …
Adaptive task offloading in vehicular edge computing networks: a reinforcement learning based scheme
In recent years, with the rapid development of Internet of Things (IoTs) and artificial
intelligence, vehicular networks have transformed from simple interactive systems to smart …
intelligence, vehicular networks have transformed from simple interactive systems to smart …
Task offloading for vehicular edge computing with edge-cloud cooperation
Vehicular edge computing (VEC) is emerging as a novel computing paradigm to meet low
latency demands for computation-intensive vehicular applications. However, most existing …
latency demands for computation-intensive vehicular applications. However, most existing …