Evaluation of the Justification and Efficiency of Artificial Intellegence Application in Technological Controlling Within 5G and 6G Networks

The use of artificial intelligence in fifth and sixth generation mobile networks has been declared as a crucial development direction, enhancing their operational efficiency. However, equipment manufacturers do not provide scientifically justified calculations of the efficiency gains achieved through Artificial Intelligence application in these mobile network technologies. Therefore, this hypothesis needs evaluation and a thorough analysis of the justifiability of using this technology to confirm the potential for efficiency enhancement in mobile networks through Artificial Intelligence integration, considering the required costs for the development of the technology and the software infrastructure of networks. The research presented in the article shows that this requires a new approach to addressing this issue, one of which is the assessment of the justification and subsequent evaluation of the efficiency of Artificial Intelligence technology application based on the use of a model and tools of technological controlling.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/emctech63049.2024.10741651
Primary Topic
Advanced Signal Processing Techniques
Type
article
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article

Evaluation of the Justification and Efficiency of Artificial Intellegence Application in Technological Controlling Within 5G and 6G Networks

Valery Tikhvinskiy, Roman Umanskiy
Advanced Signal Processing Techniques
article

Evaluation of the Justification and Efficiency of Artificial Intellegence Application in Technological Controlling Within 5G and 6G Networks

Valery Tikhvinskiy, Roman Umanskiy
article en

Abstract

The use of artificial intelligence in fifth and sixth generation mobile networks has been declared as a crucial development direction, enhancing their operational efficiency. However, equipment manufacturers do not provide scientifically justified calculations of the efficiency gains achieved through Artificial Intelligence application in these mobile network technologies. Therefore, this hypothesis needs evaluation and a thorough analysis of the justifiability of using this technology to confirm the potential for efficiency enhancement in mobile networks through Artificial Intelligence integration, considering the required costs for the development of the technology and the software infrastructure of networks. The research presented in the article shows that this requires a new approach to addressing this issue, one of which is the assessment of the justification and subsequent evaluation of the efficiency of Artificial Intelligence technology application based on the use of a model and tools of technological controlling.

Moscow Technical University of Communication and Informatics (RU), International Information Technologies University (KZ)
Openalex Percentile: Top 83%
Advanced Signal Processing Techniques
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