Computation offloading and resource allocation in vehicular networks based on dual-side cost minimization

J Du, FR Yu, X Chu, J Feng, G Lu - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The proliferation of smart vehicular terminals (VTs) and their resource hungry applications
impose serious challenges to the processing capabilities of VTs and the delivery of vehicular …

Computation offloading for mobile edge computing enabled vehicular networks

J Wang, D Feng, S Zhang, J Tang, TQS Quek - IEEE Access, 2019 - ieeexplore.ieee.org
The emergence of computation-intensive and delay-sensitive vehicular applications poses a
great challenge for individual vehicles with limited computation resources. Mobile edge …

Energy-efficient offloading decision-making for mobile edge computing in vehicular networks

X Huang, K Xu, C Lai, Q Chen, J Zhang - EURASIP Journal on Wireless …, 2020 - Springer
Driven by the explosion transmission and computation requirement in 5G vehicular
networks, mobile edge computing (MEC) attracts more attention than centralized cloud …

Latency-energy joint optimization for task offloading and resource allocation in mec-assisted vehicular networks

Y Cong, K Xue, C Wang, W Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we study the task offloading problem on mobile edge in vehicular networks.
Specifically, we take computational resource constraints into consideration, and aim to …

Optimal delay constrained offloading for vehicular edge computing networks

K Zhang, Y Mao, S Leng, S Maharjan… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
The increasing number of smart vehicles and their resource hungry applications pose new
challenges in terms of computation and processing for providing reliable and efficient …

Energy-efficient computation offloading for vehicular edge computing networks

X Gu, G Zhang - Computer Communications, 2021 - Elsevier
The demanding computing capacity of emerging vehicular applications has emerged as a
challenge in Internet of vehicles (IoVs). Multi-access edge computing (MEC) can significantly …

Task offloading in vehicular edge computing networks via deep reinforcement learning

E Karimi, Y Chen, B Akbari - Computer Communications, 2022 - Elsevier
Given the rapid increase of various applications in vehicular networks, it is crucial to
consider a flexible architecture to improve the Quality of Service (QoS). Utilizing Multi-access …

BARGAIN-MATCH: A game theoretical approach for resource allocation and task offloading in vehicular edge computing networks

Z Sun, G Sun, Y Liu, J Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is emerging as a promising architecture of vehicular
networks (VNs) by deploying the cloud computing resources at the edge of the VNs …

Joint load balancing and offloading in vehicular edge computing and networks

Y Dai, D Xu, S Maharjan… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The emergence of computation intensive and delay sensitive on-vehicle applications makes
it quite a challenge for vehicles to be able to provide the required level of computation …

Joint optimization of computation offloading and task scheduling in vehicular edge computing networks

J Sun, Q Gu, T Zheng, P Dong, A Valera, Y Qin - Ieee Access, 2020 - ieeexplore.ieee.org
Resource-intensive applications on smart vehicles is posing difficulties to the use of
traditional cloud computing for computation offloading in vehicular networks. In particular …