Unleashing the power of edge-cloud generative ai in mobile networks: A survey of aigc services

M Xu, H Du, D Niyato, J Kang, Z Xiong… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating,
manipulating, and modifying valuable and diverse data using AI algorithms creatively. This …

A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges

P McEnroe, S Wang, M Liyanage - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT)
applications that employ unmanned aerial vehicles (UAVs/drones). The success of most …

Edge computing on IoT for machine signal processing and fault diagnosis: A review

S Lu, J Lu, K An, X Wang, Q He - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Edge computing is an emerging paradigm that offloads the computations and analytics
workloads onto the Internet of Things (IoT) edge devices to accelerate the computation …

Efficient offloading for minimizing task computation delay of NOMA-based multiaccess edge computing

B Zhu, K Chi, J Liu, K Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has been one promising solution to reduce the
computation delay of wireless devices. Due to the high spectrum efficiency of non …

Joint task offloading and resource allocation in UAV-enabled mobile edge computing

Z Yu, Y Gong, S Gong, Y Guo - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emerging technology to support resource-intensive yet
delay-sensitive applications using small cloud-computing platforms deployed at the mobile …

Resource orchestration of cloud-edge–based smart grid fault detection

J Li, Y Deng, W Sun, W Li, R Li, Q Li, Z Liu - ACM Transactions on …, 2022 - dl.acm.org
Real-time smart grid monitoring is critical to enhancing resiliency and operational efficiency
of power equipment. Cloud-based and edge-based fault detection systems integrating deep …

Game theory for distributed IoV task offloading with fuzzy neural network in edge computing

X Xu, Q Jiang, P Zhang, X Cao… - … on Fuzzy Systems, 2022 - ieeexplore.ieee.org
The development of the Internet of vehicles (IoV) has spawned a series of driving assistance
services (eg, collision warning), which improves the safety and intelligence of transportation …

Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions

MY Akhlaqi, ZBM Hanapi - Journal of Network and Computer Applications, 2023 - Elsevier
Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …

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 …

Qoe-aware decentralized task offloading and resource allocation for end-edge-cloud systems: A game-theoretical approach

Y Chen, J Zhao, Y Wu, J Huang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the limited computing resource and battery capability at the mobile devices, the
computation-intensive tasks generated by mobile devices can be offloaded to edge servers …