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 …

Machine learning for anomaly detection: A systematic review

AB Nassif, MA Talib, Q Nasir, FM Dakalbab - Ieee Access, 2021 - ieeexplore.ieee.org
Anomaly detection has been used for decades to identify and extract anomalous
components from data. Many techniques have been used to detect anomalies. One of the …

A bidirectional LSTM deep learning approach for intrusion detection

Y Imrana, Y **ang, L Ali, Z Abdul-Rauf - Expert Systems with Applications, 2021 - Elsevier
The rise in computer networks and internet attacks has become alarming for most service
providers. It has triggered the need for the development and implementation of intrusion …

Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions

ME Morocho-Cayamcela, H Lee, W Lim - IEEE access, 2019 - ieeexplore.ieee.org
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …

Thirty years of machine learning: The road to Pareto-optimal wireless networks

J Wang, C Jiang, H Zhang, Y Ren… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

Internet of things in the context of industry 4.0: An overview

G Lampropoulos, K Siakas, T Anastasiadis - International Journal of …, 2019 - ijek.org
Due to successive technological advancements, developments and innovations, the global
industrial landscape has drastically transformed over the last years. The fourth industrial …

Channel state information prediction for 5G wireless communications: A deep learning approach

C Luo, J Ji, Q Wang, X Chen, P Li - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Channel state information (CSI) estimation is one of the most fundamental problems in
wireless communication systems. Various methods, so far, have been developed to conduct …

Unsupervised machine learning for networking: Techniques, applications and research challenges

M Usama, J Qadir, A Raza, H Arif, KLA Yau… - IEEE …, 2019 - ieeexplore.ieee.org
While machine learning and artificial intelligence have long been applied in networking
research, the bulk of such works has focused on supervised learning. Recently, there has …

Machine learning for the detection and identification of Internet of Things devices: A survey

Y Liu, J Wang, J Li, S Niu… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …

A survey of 5G network systems: challenges and machine learning approaches

H Fourati, R Maaloul, L Chaari - International Journal of Machine Learning …, 2021 - Springer
Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …