Proceedings of the 8th URSI-NG Annual Conference (URSI-NG 2024)

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Cutting-Edge Revolutions in Mobile Communication Network: The Synergy of Artificial Intelligence and Machine Learning, an Overview

Authors
F. Olajide-Owoyomi1, *, E. T. Omotoso2, J. S. Ojo2
1Department of Geophysics, National Institute for Space Research, Sao Jose Dos Campos, Sao Paulo, Brazil
2Department of Physics, Federal University of Technology, Akure, Nigeria
*Corresponding author. Email: femi.owoyomi@inpe.br
Corresponding Author
F. Olajide-Owoyomi
Available Online 4 February 2025.
DOI
10.2991/978-94-6463-644-4_9How to use a DOI?
Keywords
Anomaly Detection in Wireless Networks; Artificial intelligence; Auto-Regressive Model; Long-Term prediction accuracy; Machine learning; Stochastic Optimization Algorithm
Abstract

The evolution of mobile communication networks has been driven by rapid technological advancements, particularly in artificial intelligence (AI) and machine learning (ML). This paper provides a comprehensive overview of the integration of AI and ML in communication networks. The study focuses on the Particle Swarm Optimization (PSO), Anomaly Detection in Wireless Networks (ADWIN), and Autoregressive (AR) models to enhance prediction accuracy and network efficiency. Data was collected through a review of existing literature and simulation studies on AI applications in mobile communication. Key results highlight the improvements in network prediction accuracy using hybrid intelligence techniques, with notable applications in anomaly detection and communication optimization. The paper concludes with recommendations for further research in AI-driven communication technologies and suggests frameworks for enhancing long-term prediction models that can enhance prediction accuracy and reduction in connection failures.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 8th URSI-NG Annual Conference (URSI-NG 2024)
Series
Advances in Physics Research
Publication Date
4 February 2025
ISBN
978-94-6463-644-4
ISSN
2352-541X
DOI
10.2991/978-94-6463-644-4_9How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - F. Olajide-Owoyomi
AU  - E. T. Omotoso
AU  - J. S. Ojo
PY  - 2025
DA  - 2025/02/04
TI  - Cutting-Edge Revolutions in Mobile Communication Network: The Synergy of Artificial Intelligence and Machine Learning, an Overview
BT  - Proceedings of the 8th URSI-NG Annual Conference (URSI-NG 2024)
PB  - Atlantis Press
SP  - 90
EP  - 102
SN  - 2352-541X
UR  - https://doi.org/10.2991/978-94-6463-644-4_9
DO  - 10.2991/978-94-6463-644-4_9
ID  - Olajide-Owoyomi2025
ER  -