Asynchronous deep reinforcement learning for data-driven task offloading in MEC-empowered vehicular networks

P Dai, K Hu, X Wu, H Xing, Z Yu - IEEE INFOCOM 2021-IEEE …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been an effective paradigm to support real-time
computation-intensive vehicular applications. However, due to highly dynamic vehicular …

Contract-theoretic approach for delay constrained offloading in vehicular edge computing networks

K Zhang, Y Mao, S Leng, S Maharjan, A Vinel… - Mobile Networks and …, 2019 - Springer
Abstract Mobile Edge Computing (MEC) is a promising solution to improve vehicular
services through offloading computation to cloud servers in close proximity to mobile …

A probabilistic approach for cooperative computation offloading in MEC-assisted vehicular networks

P Dai, K Hu, X Wu, H Xing, F Teng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been an effective paradigm for supporting computation-
intensive applications by offloading resources at network edge. Especially in vehicular …

Matching-based task offloading for vehicular edge computing

P Liu, J Li, Z Sun - IEEE Access, 2019 - ieeexplore.ieee.org
Vehicular edge computing has emerged as a promising technology to accommodate the
tremendous demand for data storage and computational resources in vehicular networks. By …

Distributed task replication for vehicular edge computing: Performance analysis and learning-based algorithm

Y Sun, S Zhou, Z Niu - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
In a vehicular edge computing (VEC) system, vehicles can share their surplus computation
resources to provide cloud computing services. The highly dynamic environment of the …

[HTML][HTML] Joint computation offloading and resource allocation in vehicular edge computing networks

S Liu, J Tian, C Zhai, T Li - Digital Communications and Networks, 2022 - Elsevier
Abstract Vehicular Edge Computing (VEC) is a promising technique to accommodate the
computation-intensive and delay-sensitive tasks through offloading the tasks to the …

Dependency-aware task offloading and service caching in vehicular edge computing

Q Shen, BJ Hu, E Xia - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
With the emergence of computation-intensive vehicular applications, vehicular edge
computing (VEC) offers a new paradigm to augment the capabilities of vehicles. In this …

Mobility and Deadline-Aware Task Scheduling Mechanism for Vehicular Edge Computing

JBD da Costa, AM de Souza… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm that provides cloud computing
services closer to vehicular users. In VEC, vehicles and communication infrastructures can …

Dynamic edge computation offloading for internet of vehicles with deep reinforcement learning

L Yao, X Xu, M Bilal, H Wang - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Recent developments in the Internet of Vehicles (IoV) enabled the myriad emergence of a
plethora of data-intensive and latency-sensitive vehicular applications, posing significant …

Task offloading in vehicular mobile edge computing: A matching-theoretic framework

B Gu, Z Zhou - IEEE Vehicular Technology Magazine, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emerging technology that leverages computing,
storage, and network resources deployed in the proximity of users to offload terminals from …