Offloading using traditional optimization and machine learning in federated cloud–edge–fog systems: A survey

B Kar, W Yahya, YD Lin, A Ali - IEEE Communications Surveys …, 2023 - ieeexplore.ieee.org
The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

Task offloading strategies for mobile edge computing: A survey

S Dong, J Tang, K Abbas, R Hou, J Kamruzzaman… - Computer Networks, 2024 - Elsevier
With the wide adoption of 5G technology and the rapid development of 6G technology, a
variety of new applications have emerged. A multitude of compute-intensive and time …

Hybrid NOMA offloading in multi-user MEC networks

Z Ding, D Xu, R Schober… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) assisted mobile edge computing (MEC) has
recently attracted significant attention due to its superior capability to reduce the energy …

Quantum Multiagent Actor–Critic Networks for Cooperative Mobile Access in Multi-UAV Systems

C Park, WJ Yun, JP Kim, TK Rodrigues… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
This article proposes a novel algorithm, named quantum multiagent actor–critic networks
(QMACN) for autonomously constructing a robust mobile access system employing multiple …

Intelligent reflecting surface-aided vehicular networks toward 6G: Vision, proposal, and future directions

Y Zhu, B Mao, Y Kawamoto… - IEEE Vehicular Technology …, 2021 - ieeexplore.ieee.org
As one of the typical applications in the 6G mobile network, autonomous driving will
significantly benefit from the extremely high network throughput and capacity, and an …

Hybrid centralized and distributed learning for MEC-equipped satellite 6G networks

TK Rodrigues, N Kato - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
For future networks in the 6G, it will be important to maintain a ubiquitous connection, bring
processing heavy applications to remote areas, and analyze big amounts of data to …

Energy consumption minimization in secure multi-antenna UAV-assisted MEC networks with channel uncertainty

W Mao, K **ong, Y Lu, P Fan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper investigates the robust and secure task transmission and computation scheme in
multi-antenna unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) …

Multi-agent learning-based optimal task offloading and UAV trajectory planning for AGIN-power IoT

P Qin, Y Fu, Y **e, K Wu, X Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
UAV-based air-ground integrated computing networks (AGIN) have gained significant
traction in remote areas for the Power Internet of Things (PIoT). This paper considers an …

GreenEdge: Joint green energy scheduling and dynamic task offloading in multi-tier edge computing systems

H Ma, P Huang, Z Zhou, X Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As mobile edge computing (MEC) emerges as a paradigm to meet the ever-increasing
computation demands from real-time Internet of Things (IoT) applications in 5 G era, the …

Actions at the edge: Jointly optimizing the resources in multi-access edge computing

Y Deng, X Chen, G Zhu, Y Fang… - IEEE wireless …, 2022 - ieeexplore.ieee.org
Multi-access edge computing (MEC) is an emerging paradigm that pushes resources for
sensing, communications, computing, storage, and intelligence to the premises closer to the …