Digital-twin-assisted task offloading based on edge collaboration in the digital twin edge network

T Liu, L Tang, W Wang, Q Chen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Emerging digital twin (DT) and mobile-edge computing (MEC) are crucial for enabling the
rapid development of 6G. However, the existing works ignore the edge collaboration, which …

Dynamic task offloading for digital twin-empowered mobile edge computing via deep reinforcement learning

Y Chen, W Gu, J Xu, Y Zhang, G Min - China Communications, 2023 - ieeexplore.ieee.org
Limited by battery and computing resources, the computing-intensive tasks generated by
Internet of Things (IoT) devices cannot be processed all by themselves. Mobile edge …

Digital twin-aided intelligent offloading with edge selection in mobile edge computing

T Do-Duy, D Van Huynh, OA Dobre… - IEEE Wireless …, 2022 - ieeexplore.ieee.org
In this letter, we study a mobile edge computing (MEC) architecture with the assistance of
digital twin (DT) applied for industrial automation where multiple Internet-of-Things (IoT) …

Reducing offloading latency for digital twin edge networks in 6G

W Sun, H Zhang, R Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
6G is envisioned to empower wireless communication and computation through the
digitalization and connectivity of everything, by establishing a digital representation of the …

Dynamic task offloading for internet of things in mobile edge computing via deep reinforcement learning

Y Chen, W Gu, K Li - International Journal of Communication …, 2022 - Wiley Online Library
With the development of Internet of Things (IoT), more and more computation‐intensive
tasks are generated by IoT devices. Due to the limitation of battery and computing capacity …

Distributed incentives for intelligent offloading and resource allocation in digital twin driven smart industry

K Peng, H Huang, M Bilal, X Xu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing is one of the key enabling technologies of smart industry solutions,
providing agile and ubiquitous services for mobile devices (MDs) through offloading latency …

Edge intelligence-driven joint offloading and resource allocation for future 6G industrial internet of things

Y Gong, H Yao, J Wang, M Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The 6G will undergo an unprecedented transformation to revolutionize the wireless system
evolution from connected things to connected intelligence. Additionally, data scattered …

Federated reinforcement learning-based resource allocation for D2D-aided digital twin edge networks in 6G industrial IoT

Q Guo, F Tang, N Kato - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
The sixth generation (6G) is conceived to address the expected high level of requirements
(such as ultra-high-data-transmission rate, support for the highest moving speed and …

Digital twin assisted task offloading for aerial edge computing and networks

B Li, Y Liu, L Tan, H Pan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Considering the user mobility and unpredictable mobile edge computing (MEC)
environments, this paper studies the intelligent task offloading problem in unmanned aerial …

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 …