Adaptive digital twin for vehicular edge computing and networks

Y Dai, Y Zhang - Journal of Communications and Information …, 2022 - ieeexplore.ieee.org
To better support the emerging vehicular applications and multimedia services, vehicular
edge computing (VEC) provides computing and caching services in proximity to vehicles, by …

Resource allocation for integrated sensing and communication in digital twin enabled internet of vehicles

Y Gong, Y Wei, Z Feng, FR Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of the sixth-generation (6G) network, virtualization remains critical.
The key to future virtualization lies in the service provisioning capability of the network and …

A digital twin-assisted intelligent partial offloading approach for vehicular edge computing

L Zhao, Z Zhao, E Zhang, A Hawbani… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile Edge
Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload …

Digital twin-assisted resource allocation framework based on edge collaboration for vehicular edge computing

SR Jeremiah, LT Yang, JH Park - Future Generation Computer Systems, 2024 - Elsevier
Abstract Vehicular Edge Computing (VEC) supports latency-sensitive and computation-
intensive vehicular applications by providing caching and computing services in vehicle …

Intelligent task offloading in vehicular edge computing networks

H Guo, J Liu, J Ren, Y Zhang - IEEE Wireless Communications, 2020 - ieeexplore.ieee.org
Recently, traditional transportation systems have been gradually evolving to ITS, inspired by
both artificial intelligence and wireless communications technologies. The vehicles get …

Adaptive swarm intelligent offloading based on digital twin-assisted prediction in VEC

L Zhao, T Li, E Zhang, Y Lin, S Wan… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is the transportation version of Mobile Edge Computing
(MEC). In VEC, task offloading enables vehicles to offload computing tasks to nearby …

Advanced deep learning-based computational offloading for multilevel vehicular edge-cloud computing networks

M Khayyat, IA Elgendy, A Muthanna… - IEEE …, 2020 - ieeexplore.ieee.org
The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …

An efficient offloading algorithm based on support vector machine for mobile edge computing in vehicular networks

S Wu, W Xia, W Cui, Q Chao, Z Lan… - 2018 10th …, 2018 - ieeexplore.ieee.org
In vehicular networks, Mobile Edge Computing (MEC) is applied to meet the offloading
demand from vehicles. However, the mobility of vehicles may increase the offloading delay …

Double deep Q-network based dynamic framing offloading in vehicular edge computing

H Tang, H Wu, G Qu, R Li - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
With the rapid development of Artificial Intelligence (AI) and the Internet of Vehicles (IoV),
there is an increasing demand for deploying various intelligent applications on vehicles …

Multiagent deep reinforcement learning for vehicular computation offloading in IoT

X Zhu, Y Luo, A Liu, MZA Bhuiyan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The development of the Internet of Things (IoT) and intelligent vehicles brings a comfortable
environment for users. Various emerging vehicular applications using artificial intelligence …