Network load prediction and anomaly detection using ensemble learning in 5G cellular networks-Reference-Cited by-同舟云学术

Network load prediction and anomaly detection using ensemble learning in 5G cellular networks

Published:2023-01 Issue: Volume:197 Page:141-150
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Haider Usman^ORCID,Waqas Muhammad^ORCID,Hanif Muhammad,Alasmary Hisham,Qaisar Saeed Mian^ORCID

Funder

Deanship of Scientific Research, King Faisal University

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference39 articles.

1. Next generation 5G wireless networks: A comprehensive survey;Agiwal;IEEE Commun. Surv. Tutor.,2016

2. A survey of 5G network: Architecture and emerging technologies;Gupta;IEEE Access,2015

3. The role of artificial intelligence and machine learning in wireless networks security: Principle, practice and challenges;Waqas;Artif. Intell. Rev.,2022

4. Security in fog computing: A novel technique to tackle an impersonation attack;Tu;IEEE Access,2018

5. What will 5G be?;Andrews;IEEE J. Sel. Areas Commun.,2014

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Resilient TCP Variant Enabling Smooth Network Updates for Software-Defined Data Center Networks;Tsinghua Science and Technology;2024-10

2. Multi-scale convolutional auto encoder for anomaly detection in 6G environment;Computers & Industrial Engineering;2024-08

3. ML-based inter-slice load balancing control for proactive offloading of virtual services;Computer Networks;2024-06

4. Enhancing Metro Rail Efficiency: A Predictive Maintenance Approach Leveraging Machine Learning and Deep Learning Technologies;2024-05-23

5. Anomaly detection framework for highly scattered and dynamic data on large-scale networks using AWS;International Journal of Information Technology;2024-04-25