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 …

Resource allocation schemes for 5G network: A systematic review

MA Kamal, HW Raza, MM Alam, MM Su'ud, AAB Sajak - Sensors, 2021 - mdpi.com
Fifth-generation (5G) communication technology is intended to offer higher data rates,
outstanding user exposure, lower power consumption, and extremely short latency. Such …

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 …

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 …

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 …

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 …

Efficiency and fairness oriented dynamic task offloading in internet of vehicles

C Chen, H Li, H Li, R Fu, Y Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The rapid development of the Internet of Vehicles (IoV) leads to various on-board
applications including delay-sensitive and compute-intensive applications. However …

Blockchain-based task offloading for edge computing on low-quality data via distributed learning in the internet of energy

Y Liu, X Guan, Y Peng, H Chen… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
With the development of the Internet of energy, more and more participants share data by
different types of edge devices. However, such multi-source heterogenous data typically …

Multiagent deep reinforcement learning for task offloading and resource allocation in cybertwin-based networks

W Hou, H Wen, H Song, W Lei… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
In this article, a hierarchical task offloading strategy is presented for delay-tolerant and delay-
sensitive missions by integrating edge computing and artificial intelligence into Cybertwin …