A full dive into realizing the edge-enabled metaverse: Visions, enabling technologies, and challenges

M Xu, WC Ng, WYB Lim, J Kang, Z Xiong… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Dubbed “the successor to the mobile Internet,” the concept of the Metaverse has grown in
popularity. While there exist lite versions of the Metaverse today, they are still far from …

Holistic network virtualization and pervasive network intelligence for 6G

X Shen, J Gao, W Wu, M Li, C Zhou… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …

Digital twin networks: A survey

Y Wu, K Zhang, Y Zhang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Digital twin network (DTN) is an emerging network that utilizes digital twin (DT) technology to
create the virtual twins of physical objects. DTN realizes co-evolution between physical and …

A systematic review of digital twin about physical entities, virtual models, twin data, and applications

X Liu, D Jiang, B Tao, F Xiang, G Jiang, Y Sun… - Advanced Engineering …, 2023 - Elsevier
The digital twin is a crucial technology for realizing smart manufacturing and industrial digital
transformation, which has received extensive attention and research from industry and …

A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies

A Thelen, X Zhang, O Fink, Y Lu, S Ghosh… - Structural and …, 2022 - Springer
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

Adaptive digital twin and multiagent deep reinforcement learning for vehicular edge computing and networks

K Zhang, J Cao, Y Zhang - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Technological advancements of urban informatics and vehicular intelligence have enabled
connected smart vehicles as pervasive edge computing platforms for a plethora of powerful …

[HTML][HTML] Semi-supervised support vector machine for digital twins based brain image fusion

Z Wan, Y Dong, Z Yu, H Lv, Z Lv - Frontiers in Neuroscience, 2021 - frontiersin.org
The purpose is to explore the feature recognition, diagnosis, and forecasting performances
of Semi-Supervised Support Vector Machines (S3VMs) for brain image fusion Digital Twins …

Intelligent small object detection for digital twin in smart manufacturing with industrial cyber-physical systems

X Zhou, X Xu, W Liang, Z Zeng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Recently, along with several technological advancements in cyber-physical systems, the
revolution of Industry 4.0 has brought in an emerging concept named digital twin (DT), which …

Blockchain and federated learning for collaborative intrusion detection in vehicular edge computing

H Liu, S Zhang, P Zhang, X Zhou… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The vehicular networks constructed by interconnected vehicles and transportation
infrastructure are vulnerable to cyber-intrusions due to the expanded use of software and the …

Adaptive edge association for wireless digital twin networks in 6G

Y Lu, S Maharjan, Y Zhang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Sixth-generation (6G) is envisioned to be characterized by ubiquitous connectivity,
extremely low latency, and enhanced edge intelligence. However, enriching 6G with these …