Management and orchestration of edge computing for IoT: A comprehensive survey

Y Chiang, Y Zhang, H Luo, TY Chen… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …

Artificial intelligence for wireless caching: Schemes, performance, and challenges

M Sheraz, M Ahmed, X Hou, Y Li, D Jin… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Wireless data traffic is growing unprecedentedly and it may impede network performance by
consuming an ever-greater amount of bandwidth. With the advancement in technology there …

5G-enabled cooperative intelligent vehicular (5GenCIV) framework: When Benz meets Marconi

X Cheng, C Chen, W Zhang, Y Yang - IEEE Intelligent Systems, 2017 - ieeexplore.ieee.org
As one of the most popular social media platforms today, Twitter provides people with an
effective way to communicate and interact with each other. Through these interactions …

Energy efficient resource management in SWIPT enabled heterogeneous networks with NOMA

H Zhang, M Feng, K Long… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) in heterogeneous network (HetNet) is a very
promising scheme to meet the exponential growth of mobile data expected in the coming …

When information freshness meets service latency in federated learning: A task-aware incentive scheme for smart industries

WYB Lim, Z Xiong, J Kang, D Niyato… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
For several industrial applications, a sole data owner may lack sufficient training samples to
train effective machine learning based models. As such, we propose a federated learning …

Wireless edge caching based on content similarity in dynamic environments

X Wei, J Liu, Y Wang, C Tang, Y Hu - Journal of Systems Architecture, 2021 - Elsevier
Edge caching could greatly relieve the burden of the backbone network and reduce the
content request latency experienced by end-user devices. This makes edge caching a …

A mobility-aware vehicular caching scheme in content centric networks: Model and optimization

Y Zhang, C Li, TH Luan, Y Fu, W Shi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Edge caching is being explored as a promising technology to alleviate the network burden
of cellular networks by separating the computing functionalities away from cellular base …

Efficient verification of edge data integrity in edge computing environment

G Cui, Q He, B Li, X Xia, F Chen, H Jin… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The new edge computing paradigm extends cloud computing by allowing service vendors to
deploy their service instances and data on distributed edge servers to serve their service …

Fairness-aware task scheduling and resource allocation in UAV-enabled mobile edge computing networks

M Zhao, W Li, L Bao, J Luo, Z He… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) has recently
emerged to provide data processing and caching in the infrastructure-less areas. However …

Space-reserved cooperative caching in 5G heterogeneous networks for industrial IoT

P Duan, Y Jia, L Liang, J Rodriguez… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The large amount of data among billions of devices deployed for Industrial Internet of Things
(IIoT) cause a massive energy consumption. Driven by the pursuit of green communication …