[HTML][HTML] Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey

S Zeb, A Mahmood, SA Hassan, MDJ Piran… - Journal of Network and …, 2022 - Elsevier
By amalgamating recent communication and control technologies, computing and data
analytics techniques, and modular manufacturing, Industry 4.0 promotes integrating cyber …

Digital twin for 6G: Taxonomy, research challenges, and the road ahead

A Masaracchia, V Sharma, B Canberk… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
The concept of digital twin (DT) is constantly revealing as a key enabling technology for the
deployment of mobile communication services envisaged for the sixth-generation (6G) …

Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks

L Liu, M Zhao, M Yu, MA Jan, D Lan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …

ELITE: An intelligent digital twin-based hierarchical routing scheme for softwarized vehicular networks

L Zhao, Z Bi, A Hawbani, K Yu, Y Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Software-Defined Vehicular Network (SDVN) is a networking architecture that can provide
centralized control for vehicular networks. However, the design for routing policies in SDVNs …

Edge intelligence empowered vehicle detection and image segmentation for autonomous vehicles

C Chen, C Wang, B Liu, C He, L Cong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Edge intelligence (EI) migrates data and artificial intelligence (AI) to the “edge” of a network,
enhancing the high-bandwidth and low-latency of wireless data transmission with the …

Digital twin-driven fault diagnosis method for composite faults by combining virtual and real data

C Yang, B Cai, Q Wu, C Wang, W Ge, Z Hu… - Journal of Industrial …, 2023 - Elsevier
The subsea production system is essential for the subsea production of oil and gas. Real-
time monitoring can ensure safe production. The subsea production control system is the …

Survey on digital twin edge networks (DITEN) toward 6G

F Tang, X Chen, TK Rodrigues… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE)
and revolutionize customer services and applications to a fully intelligent and autonomous …

Efficient multi-vehicle task offloading for mobile edge computing in 6g networks

Y Chen, F Zhao, X Chen, Y Wu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the development of 6G wireless communication technologies, various resource-
intensive and delay-sensitive vehicle application tasks are generated. These application …

URLLC edge networks with joint optimal user association, task offloading and resource allocation: A digital twin approach

D Van Huynh, VD Nguyen… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
This paper addresses the problem of minimising latency in computation offloading with
digital twin (DT) wireless edge networks for industrial Internet-of-Things (IoT) environment …

Asynchronous deep reinforcement learning for collaborative task computing and on-demand resource allocation in vehicular edge computing

L Liu, J Feng, X Mu, Q Pei, D Lan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …