Digital twin-driven vehicular task offloading and IRS configuration in the Internet of Vehicles

X Yuan, J Chen, N Zhang, J Ni, FR Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Digital mymargin Twin (DT) and Intelligent Reflective Surface (IRS), the most two promising
technologies of 6G make the Internet of Vehicles (IoV) more adaptive. However, future …

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 …

Deep reinforcement learning for shared offloading strategy in vehicle edge computing

X Peng, Z Han, W Xie, C Yu, P Zhu, J Xiao… - IEEE Systems …, 2022 - ieeexplore.ieee.org
Vehicular edge computing (VEC) effectively reduces the computing load of vehicles by
offloading computing tasks from vehicle terminals to edge servers. However, offloading of …

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 …

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 …

RADiT: Resource allocation in digital twin-driven UAV-aided internet of vehicle networks

B Hazarika, K Singh, CP Li… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Digital twin (DT) has emerged as a promising technology for improving resource allocation
decisions in Internet of Vehicles (IoV) networks. In this paper, we consider an IoV network …

Service offloading with deep Q-network for digital twinning-empowered internet of vehicles in edge computing

X Xu, B Shen, S Ding, G Srivastava… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
With the potential of implementing computing-intensive applications, edge computing is
combined with digital twinning (DT)-empowered Internet of vehicles (IoV) to enhance …

QoE-based task offloading with deep reinforcement learning in edge-enabled Internet of Vehicles

X He, H Lu, M Du, Y Mao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the transportation industry, task offloading services of edge-enabled Internet of Vehicles
(IoV) are expected to provide vehicles with the better Quality of Experience (QoE). However …

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 …

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 …