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The Potential of AI-Powered Digital Twins in GSM Base Stations

  • Karabuk University
  • Gebze Technical University
  • Izmir Bakircay University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Rapid advances in information and communication technologies have brought about significant developments in the role and functions of base stations in the telecommunications sector. The transformation of traditional base stations from their standard structures to dynamic and intelligent structures through artificial intelligence applications has brought about a variety of different technologies. This article focuses on AI-enabled digital twins, a prominent technology. The concept of digital twins is explained, and studies in literature are summarized. The advantages and disadvantages of using AI in GSM base stations are examined, and the potential benefits of integrating this concept into digital twins are explained. This article provides an overview of the use of AI-enabled digital twins for predictive maintenance in base stations. The article aims to examine in detail how AI technologies can be used in base stations and the role of the digital twin concept in this area, exploring the potential of this technology and reviewing its applications in the telecommunications field.

Original languageEnglish
Title of host publicationISMSIT 2025 - 9th International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331597535
DOIs
Publication statusPublished - 2025
Event9th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2025 - Ankara, Turkey
Duration: 14 Nov 202516 Nov 2025

Publication series

NameISMSIT 2025 - 9th International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings

Conference

Conference9th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2025
Country/TerritoryTurkey
CityAnkara
Period14/11/2516/11/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

  • artificial intelligence (AI)
  • base stations
  • communication systems
  • digital twin (DT)
  • GSM

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