Vehicle Trajectory Prediction Method for Task Offloading in Vehicular Edge Computing

R Yan, Y Gu, Z Zhang, S Jiao - Sensors, 2023 - mdpi.com
Real-time computation tasks in vehicular edge computing (VEC) provide convenience for
vehicle users. However, the efficiency of task offloading seriously affects the quality of …

Deep reinforcement learning based offloading decision algorithm for vehicular edge computing

X Hu, Y Huang - PeerJ Computer Science, 2022 - peerj.com
Task offloading decision is one of the core technologies of vehicular edge computing.
Efficient offloading decision can not only meet the requirements of complex vehicle tasks in …

Task offloading and serving handover of vehicular edge computing networks based on trajectory prediction

B Lv, C Yang, X Chen, Z Yao, J Yang - IEEE Access, 2021 - ieeexplore.ieee.org
Vehicular edge computing (VEC) has emerged as a promising paradigm to ensure the real-
time task processing caused by the emerging 5G or high level intelligent assisted driving …

Deep reinforcement learning-guided task reverse offloading in vehicular edge computing

A Gu, H Wu, H Tang, C Tang - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
The rapid development of Vehicular Edge Computing (VEC) provides great support for
Collaborative Vehicle Infrastructure System (CVIS) and promotes the safety of autonomous …

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 …

A deep reinforcement learning based computation offloading with mobile vehicles in vehicular edge computing

J Lin, S Huang, H Zhang, X Yang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
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 …

Energy consumption and qos-aware co-offloading for vehicular edge computing

W Lv, P Yang, T Zheng, B Yi, Y Ding… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
By deploying computing, storage, and bandwidth resources at the user side, vehicular edge
computing (VEC) provides low-delay services for vehicle users. However, due to the limited …

A collaborative computation and dependency-aware task offloading method for vehicular edge computing: a reinforcement learning approach

G Liu, F Dai, B Huang, Z Qiang, S Wang, L Li - Journal of Cloud …, 2022 - Springer
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 …

Task migration based on reinforcement learning in vehicular edge computing

S Moon, J Park, Y Lim - Wireless Communications and Mobile …, 2021 - Wiley Online Library
Multiaccess edge computing (MEC) has emerged as a promising technology for time‐
sensitive and computation‐intensive tasks. With the high mobility of users, especially in a …

Efficient task allocation for computation offloading in vehicular edge computing

Z Zhang, F Zeng - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In vehicular edge computing, the edge servers may be overloaded once too many vehicles
request the task offloading service, which will cause task offloading failure or the high …