Adaptive task offloading in vehicular edge computing networks based on deep reinforcement learning
R Shuai, L Wang, S Guo… - 2021 IEEE/CIC …, 2021 - ieeexplore.ieee.org
To support the delay-sensitive application for vehicular communications, edge servers are
adopted and deployed in the roadside units to provide abundant computing resources for …
adopted and deployed in the roadside units to provide abundant computing resources for …
Intelligent and Decentralized Resource Allocation in Vehicular Edge Computing Networks
With the rise of intelligent transportation systems and the increasing diversity of vehicular
applications, such as safety-related features, parking navigation, and multimedia …
applications, such as safety-related features, parking navigation, and multimedia …
A reinforcement learning based task offloading scheme for vehicular edge computing network
Recently, the trends of automation and intelligence in vehicular networks have led to the
emergence of intelligent connected vehicles (ICVs), and various intelligent applications like …
emergence of intelligent connected vehicles (ICVs), and various intelligent applications like …
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 …
Towards Efficient Task Offloading with Dependency Guarantees in Vehicular Edge Networks through Distributed Deep Reinforcement Learning
The proliferation of computation-intensive and delay-sensitive applications in the Internet of
Vehicles (IoV) poses great challenges to resource-constrained vehicles. To tackle this issue …
Vehicles (IoV) poses great challenges to resource-constrained vehicles. To tackle this issue …
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 …
Intelligent task offloading algorithm for mobile edge computing in vehicular networks
Y Cui, Y Liang, R Wang - 2020 IEEE 91st vehicular technology …, 2020 - ieeexplore.ieee.org
Based on the research of network and computing, while considering the delay of vehicular
networks, this paper proposes an intelligent task offloading framework that can dynamically …
networks, this paper proposes an intelligent task offloading framework that can dynamically …
Deep reinforcement learning-based computation offloading in vehicular networks
L Geng, H Zhao, H Liu, Y Wang… - 2021 8th IEEE …, 2021 - ieeexplore.ieee.org
With the rapid development of 5G communications and the Internet of Things (IoT), vehicular
networks have enriched people's lives with abundant applications. Since most of such …
networks have enriched people's lives with abundant applications. Since most of such …
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 …
Learning iov in edge: deep reinforcement learning for edge computing enabled vehicular networks
The development of artificial intelligence, wireless communication and smart sensor platform
facilities the emergence of multitude of novel vehicular applications in recent years. These …
facilities the emergence of multitude of novel vehicular applications in recent years. These …
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