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 …
[HTML][HTML] A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach
Vehicular edge computing (VEC) is emerging as a new computing paradigm to improve the
quality of vehicular services and enhance the capabilities of vehicles. It enables performing …
quality of vehicular services and enhance the capabilities of vehicles. It enables performing …
Deep Reinforcement Learning Based Distributed Computation Offloading in Vehicular Edge Computing Networks
L Geng, H Zhao, J Wang, A Kaushik… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Vehicular edge computing has emerged as a promising paradigm by offloading computation-
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …
[HTML][HTML] 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 …
[HTML][HTML] Task Offloading Decision-Making Algorithm for Vehicular Edge Computing: A Deep-Reinforcement-Learning-Based Approach
W Shi, L Chen, X Zhu - Sensors, 2023 - mdpi.com
Efficient task offloading decision is a crucial technology in vehicular edge computing, which
aims to fulfill the computational performance demands of complex vehicular tasks with …
aims to fulfill the computational performance demands of complex vehicular tasks with …
A Proactive Stable Scheme for Vehicular Collaborative Edge Computing
Due to the restricted computing resources and high upgrading costs, onboard processors
alone cannot meet the quality of service (QoS) requirements of the emerging and constantly …
alone cannot meet the quality of service (QoS) requirements of the emerging and constantly …
DRL-based computation offloading with queue stability for vehicular-cloud-assisted mobile edge computing systems
Computation offloading is considered as a promising method to improve computation
performance of Intelligent Vehicles (IVs), where IVs can offload resource-hungry …
performance of Intelligent Vehicles (IVs), where IVs can offload resource-hungry …
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 computation offloading in vehicular edge computing
Inspired by mobile edge computing (MEC), vehicular edge computing (VEC) enables
vehicle terminals to support resource-hungry on-vehicle applications with significantly lower …
vehicle terminals to support resource-hungry on-vehicle applications with significantly lower …
Adaptive inference reinforcement learning for task offloading in vehicular edge computing systems
Vehicular edge computing (VEC) is expected as a promising technology to improve the
quality of innovative applications in vehicular networks through computation offloading …
quality of innovative applications in vehicular networks through computation offloading …