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 …

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 …

Cellular traffic prediction with machine learning: A survey

W Jiang - Expert Systems with Applications, 2022 - Elsevier
Cellular networks are important for the success of modern communication systems, which
support billions of mobile users and devices. Powered by artificial intelligence techniques …

OrchestRAN: Network automation through orchestrated intelligence in the open RAN

S D'Oro, L Bonati, M Polese… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
The next generation of cellular networks will be characterized by softwarized, open, and
disaggregated architectures exposing analytics and control knobs to enable network …

Artificial intelligence-assisted network slicing: Network assurance and service provisioning in 6G

J Wang, J Liu, J Li, N Kato - IEEE Vehicular Technology …, 2023 - ieeexplore.ieee.org
6G networks are expected to provide instant global connectivity and enable the transition
from “connected things” to “connected intelligence,” where promising network slicing can …

The Road to corporate sustainability: The importance of artificial intelligence

P Chen, Z Chu, M Zhao - Technology in Society, 2024 - Elsevier
Artificial intelligence (AI) is playing an increasingly important role in the corporate strategic
development, and this study explores the relationship between AI and corporate sustainable …

[HTML][HTML] AI augmented Edge and Fog computing: Trends and challenges

S Tuli, F Mirhakimi, S Pallewatta, S Zawad… - Journal of Network and …, 2023 - Elsevier
In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …

Machine learning in network slicing—a survey

HP Phyu, D Naboulsi, R Stanica - IEEE Access, 2023 - ieeexplore.ieee.org
5G and beyond networks are expected to support a wide range of services, with highly
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …

Dynamic VNF placement, resource allocation and traffic routing in 5G

M Golkarifard, CF Chiasserini, F Malandrino… - Computer Networks, 2021 - Elsevier
Abstract 5G networks are going to support a variety of vertical services, with a diverse set of
key performance indicators (KPIs), by using enabling technologies such as software-defined …

A survey on beyond 5g network slicing for smart cities applications

W Rafique, J Barai, AO Fapojuwo… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Beyond fifth generation (B5G) is expected to tremendously improve network capabilities by
using a higher frequency band compared to 5G, capable of delivering higher network …