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Published on 29 November 2024
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Wang,P. (2024).The Integrated Development of Wireless Networks and AI.Applied and Computational Engineering,112,108-114.
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The Integrated Development of Wireless Networks and AI

Pengbo Wang *,1,
  • 1 Xi'an Jiaotong University, No.28, Xianning West Road, Xi'an, Shaanxi, 710049, P.R. China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2024.17917

Abstract

This paper combines the current research status of wireless networks and artificial intelligence, delving into the state of wireless network research and its impacts, and highlights the importance and necessity of the integrated development of wireless networks and AI. The aim is to provide readers with an understanding of the current situation and challenges of wireless networks. With the increasing number of mobile communication users, spectrum resources are becoming increasingly scarce, network security issues are more prominent, and the complexity of network architecture and business processes has significantly increased, making it difficult for traditional operations and maintenance methods to meet these demands. Therefore, leveraging AI to build a new mode of communication network operation has become an inevitable choice. The intelligent evolution of wireless networks is an unstoppable trend. In the future, full intelligence will be achieved through digital infrastructure, knowledge introduction, and digital twins, driving the efficient development of wireless networks.

Keywords

Wireless Network, AI, 5G, Mobile Communication,Communication Engineering

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Cite this article

Wang,P. (2024).The Integrated Development of Wireless Networks and AI.Applied and Computational Engineering,112,108-114.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 5th International Conference on Signal Processing and Machine Learning

Conference website: https://2025.confspml.org/
ISBN:978-1-83558-747-8(Print) / 978-1-83558-748-5(Online)
Conference date: 12 January 2025
Editor:Stavros Shiaeles
Series: Applied and Computational Engineering
Volume number: Vol.112
ISSN:2755-2721(Print) / 2755-273X(Online)

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