Offloading using traditional optimization and machine learning in federated cloud–edge–fog systems: A survey
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 …
computational power and storage capacity provided by cloud, edge, and fog computing …
Task offloading strategies for mobile edge computing: A survey
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 …
variety of new applications have emerged. A multitude of compute-intensive and time …
Hybrid NOMA offloading in multi-user MEC networks
Non-orthogonal multiple access (NOMA) assisted mobile edge computing (MEC) has
recently attracted significant attention due to its superior capability to reduce the energy …
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
This article proposes a novel algorithm, named quantum multiagent actor–critic networks
(QMACN) for autonomously constructing a robust mobile access system employing multiple …
(QMACN) for autonomously constructing a robust mobile access system employing multiple …
Intelligent reflecting surface-aided vehicular networks toward 6G: Vision, proposal, and future directions
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 …
significantly benefit from the extremely high network throughput and capacity, and an …
Hybrid centralized and distributed learning for MEC-equipped satellite 6G networks
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 …
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
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-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 …
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
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 …
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
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 …
sensing, communications, computing, storage, and intelligence to the premises closer to the …