Digital twin empowered heterogeneous network selection in vehicular networks with knowledge transfer

J Zheng, TH Luan, Y Hui, Z Yin… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Digital twin (DT) has emerged as a promising technology to create digital replicas of
physical vehicles to facilitate driving in Internet of Vehicles (IoV). However, due to the …

Predictive Computation Offloading and Resource Allocation in DT-Empowered Vehicular Networks

B Lu, B Fan, Y Wu, L Qian, H Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To provide a better support for various vehicular applications, digital twin (DT), as an
emerging technology, can enable a virtual presentation of physical vehicular networks to …

Data synchronization in vehicular digital twin network: A game theoretic approach

J Zheng, TH Luan, Y Zhang, R Li, Y Hui… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
A fundamental issue of the vehicular digital twin (DT) is efficiently synchronizing the data
between the DT and the vehicular user (VUE). In this paper, we consider the heterogeneous …

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 …

Digital Twin Enabled Task Offloading for IoVs: A Learning-Based Approach

J Zheng, Y Zhang, TH Luan, PK Mu, G Li… - … on Network Science …, 2023 - ieeexplore.ieee.org
This article explores the optimal offloading strategy in the Internet of Vehicles (IoVs), which is
challenged by three issues. First, the resources of edge servers are shared by multiple …

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 …

Digital twins enabled on-demand matching for multi-task federated learning in HetVNets

Y Hui, G Zhao, C Li, N Cheng, Z Yin… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In the heterogeneous vehicular networks (HetVNets), the roadside units (RUs) can exploit
the massive amounts of valuable data collected by vehicles to complete federated learning …

Adaptive task scheduling in digital twin empowered cloud-native vehicular networks

X Tan, M Wang, T Wang, Q Zheng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Intelligent driving has advanced significantly in recent decades, paving the path for the
transportation of the future. Digital twin (DT) technology, which can bridge the physical and …

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 …

Intelligent digital twin-based software-defined vehicular networks

L Zhao, G Han, Z Li, L Shu - IEEE network, 2020 - ieeexplore.ieee.org
SDVN is a promising architecture to extend the computation resources which break through
the limitations of current vehicular networks. It is possible to learn new networking schemes …