Innovative trends in the 6G era: A comprehensive survey of architecture, applications, technologies, and challenges

VK Quy, A Chehri, NM Quy, ND Han, NT Ban - IEEE Access, 2023 - ieeexplore.ieee.org
While the fifth-generation mobile network is being commercialized worldwide, researchers
have recently started looking towards the next generation, called the 6G network. Unlike 5G …

A survey of network automation for industrial internet-of-things toward industry 5.0

HR Chi, CK Wu, NF Huang, KF Tsang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network automation has been bred by the deployment of 5G based Industrial Internet-of-
Things (IIoT) in Industry 4.0, and further approaching pervasive AI and human-robot …

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 …

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 …

Edge intelligence-based ultra-reliable and low-latency communications for digital twin-enabled metaverse

D Van Huynh, SR Khosravirad… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
In this letter, we propose a novel digital twin scheme supported metaverse by jointly
considering the integrated model of communications, computing, and storage through the …

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 …

Adaptive federated learning and digital twin for industrial internet of things

W Sun, S Lei, L Wang, Z Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Industrial Internet of Things (IoT) enables distributed intelligent services varying with the
dynamic and realtime industrial environment to achieve Industry 4.0 benefits. In this article …

MAP based modeling method and performance study of a task offloading scheme with time-correlated traffic and VM repair in MEC systems

Y Wang, X Han, S Jin - Wireless Networks, 2023 - Springer
Abstract Mobile Edge Computing (MEC) has evolved into a key technology that can
leverage resources of computing, storage and network deployed at the proximity of the …

Machine learning-based digital twin for predictive modeling in wind turbines

M Fahim, V Sharma, TV Cao, B Canberk… - IEEE Access, 2022 - ieeexplore.ieee.org
Wind turbines are one of the primary sources of renewable energy, which leads to a
sustainable and efficient energy solution. It does not release any carbon emissions to pollute …