Computation offloading in mobile edge computing networks: A survey

C Feng, P Han, X Zhang, B Yang, Y Liu… - Journal of Network and …, 2022 - Elsevier
Computation offloading is one of the key technologies in Mobile Edge Computing (MEC),
which makes up for the deficiencies of mobile devices in terms of storage resource …

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 …

Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing

H Zhou, K Jiang, X Liu, X Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has emerged as a promising computing paradigm in the 5G
architecture, which can empower user equipments (UEs) with computation and energy …

Deep reinforcement learning for stochastic computation offloading in digital twin networks

Y Dai, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The rapid development of industrial Internet of Things (IIoT) requires industrial production
towards digitalization to improve network efficiency. Digital Twin is a promising technology to …

A parallel intelligence-driven resource scheduling scheme for digital twins-based intelligent vehicular systems

J Yang, F Lin, C Chakraborty, K Yu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Real-time digital twin technology can enhance traffic safety of intelligent vehicular system
and provide scientific strategies for intelligent traffic management. At the same time, real …

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 …

Multi-objective optimization for resource allocation in vehicular cloud computing networks

W Wei, R Yang, H Gu, W Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Modern transportation is associated with considerable challenges related to safety, mobility,
the environment and space limitations. Vehicular networks are widely considered to be a …

Multi-agent deep reinforcement learning for computation offloading and interference coordination in small cell networks

X Huang, S Leng, S Maharjan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Integrating mobile edge computing (MEC) with small cell networks has been conceived as a
promising solution to provide pervasive computing services. However, the interactions …

Green Internet of Vehicles (IoV) in the 6G era: Toward sustainable vehicular communications and networking

J Wang, K Zhu, E Hossain - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
As one of the most promising applications in future Internet of Things, Internet of Vehicles
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …

A comprehensive survey on vehicular networking: Communications, applications, challenges, and upcoming research directions

NH Hussein, CT Yaw, SP Koh, SK Tiong… - IEEE Access, 2022 - ieeexplore.ieee.org
Nowadays, advanced communication technologies are being utilized to develop intelligent
transportation management and driving assistance. Through the ability to exchange traffic …