Edge computing with artificial intelligence: A machine learning perspective

H Hua, Y Li, T Wang, N Dong, W Li, J Cao - ACM Computing Surveys, 2023 - dl.acm.org
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …

Holistic network virtualization and pervasive network intelligence for 6G

X Shen, J Gao, W Wu, M Li, C Zhou… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …

Multi-hop RIS-empowered terahertz communications: A DRL-based hybrid beamforming design

C Huang, Z Yang, GC Alexandropoulos… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Wireless communication in the TeraHertz band (0.1-10 THz) is envisioned as one of the key
enabling technologies for the future sixth generation (6G) wireless communication systems …

AI-based fog and edge computing: A systematic review, taxonomy and future directions

S Iftikhar, SS Gill, C Song, M Xu, MS Aslanpour… - Internet of Things, 2023 - Elsevier
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

Convergence of edge computing and deep learning: A comprehensive survey

X Wang, Y Han, VCM Leung, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …

Edge intelligence: The confluence of edge computing and artificial intelligence

S Deng, H Zhao, W Fang, J Yin… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Along with the rapid developments in communication technologies and the surge in the use
of mobile devices, a brand-new computation paradigm, edge computing, is surging in …

Online distributed offloading and computing resource management with energy harvesting for heterogeneous MEC-enabled IoT

S Xia, Z Yao, Y Li, S Mao - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
With the rapid development and convergence of the mobile Internet and the Internet of
Things (IoT), computing-intensive and delay-sensitive IoT applications (APPs) are …

A survey on digital twins: Architecture, enabling technologies, security and privacy, and future prospects

Y Wang, Z Su, S Guo, M Dai… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
By interacting, synchronizing, and cooperating with its physical counterpart in real time,
digital twin (DT) is promised to promote an intelligent, predictive, and optimized modern city …

A learning-based incentive mechanism for federated learning

Y Zhan, P Li, Z Qu, D Zeng… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) generates large amounts of data at the network edge. Machine
learning models are often built on these data, to enable the detection, classification, and …

A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art

QV Pham, F Fang, VN Ha, MJ Piran, M Le, LB Le… - IEEE …, 2020 - ieeexplore.ieee.org
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …