This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.
Vidnyanesh Shankar Masavkar,
Dr. Ashwani Tapde,
- M. Tech Student, Department of Electronic and Communication Engineering, College of Engineering, Dr. A.P.J. Abdul Kalam University, Indore, Madhya Pradesh, India
- Associate Professor, Department of Electrical and Electronics Engineering, College of Engineering, Dr. A.P.J. Abdul Kalam University Indore, Madhya Pradesh, India
Abstract
This paper explores the transformative impact of Artificial Intelligence (AI) in telecommunications, focusing on network performance optimization, predictive maintenance, personalized user experiences, and ethical and regulatory challenges. AI technologies enhance communication networks by optimizing resource allocation, reducing latency, and increasing throughput through real-time adjustments and predictive analytics. Predictive maintenance, enabled by AI, helps prevent failures, reduce downtime, and lower maintenance costs by anticipating issues. The study also delves into AI’s role in customizing communication services, delivering tailored content based on user preferences and behavior. Ethical, social, and regulatory concerns, including data privacy and algorithmic bias, are examined, emphasizing the need for updated regulatory frameworks. Best practices for AI implementation in telecom networks are documented, providing guidelines for effective integration while mitigating risks. The findings highlight substantial benefits of AI for network optimization and maintenance, stressing careful management to address associated challenges. This investigation enriches the understanding of AI in telecommunications and offers valuable insights for industry practitioners.
Keywords: Artificial Intelligence (AI), Communication networks, 5G technology, Machine learning, deep learning, Network optimization, Predictive maintenance, Latency, Throughput, Data privacy, Transparency, Social implications, Regulatory frameworks.
[This article belongs to Journal of Telecommunication, Switching Systems and Networks (jotssn)]
Vidnyanesh Shankar Masavkar, Dr. Ashwani Tapde. Transformative Impact of Artificial Intelligence on Telecommunications: Network Optimization, Predictive Maintenance, and Personalized User Experience. Journal of Telecommunication, Switching Systems and Networks. 2025; 12(01):-.
Vidnyanesh Shankar Masavkar, Dr. Ashwani Tapde. Transformative Impact of Artificial Intelligence on Telecommunications: Network Optimization, Predictive Maintenance, and Personalized User Experience. Journal of Telecommunication, Switching Systems and Networks. 2025; 12(01):-. Available from: https://journals.stmjournals.com/jotssn/article=2025/view=0
References
- Balmer RE, Levin SL, Schmidt S. Artificial Intelligence Applications in Telecommunications and other network industries. Telecommunications Policy. 2020 Jul 1;44(6):101977.
- Lee WJ, Wu H, Yun H, Kim H, Jun MB, Sutherland JW. Predictive maintenance of machine tool systems using artificial intelligence techniques applied to machine condition data. Procedia Cirp. 2019 Jan 1; 80:506-11.
- Shoetan PO, Amoo OO, Okafor ES, Olorunfemi OL. Synthesizing AI’S impact on cybersecurity in telecommunications: a conceptual framework. Computer Science & IT Research Journal. 2024 Mar 18;5(3):594-605.
- Lauro CH, Pereira RB, Brandão LC, Davim JP. Design of Experiments—Statistical and Artificial Intelligence Analysis for the improvement of machining processes: A review. Design of experiments in production engineering. 2015 Nov 6:89-107.
- Umoga UJ, Sodiya EO, Ugwuanyi ED, Jacks BS, Lottu OA, Daraojimba OD, Obaigbena A. Exploring the potential of AI-driven optimization in enhancing network performance and efficiency. Magna Scientia Advanced Research and Reviews. 2024;10(1):368-78.
- Bhuiyan MS. The role of AI-Enhanced personalization in customer experiences. Journal of Computer Science and Technology Studies. 2024 Feb 1;6(1):162-9.
- Ghosh S, Razouqi Q, Schumacher HJ, Celmins A. A survey of recent advances in fuzzy logic in telecommunications networks and new challenges. IEEE Transactions on Fuzzy Systems. 1998 Aug;6(3):443-7.
- Panch T, Mattie H, Atun R. Artificial intelligence and algorithmic bias: implications for health systems. Journal of global health. 2019 Dec;9(2).
- Gaur L, Sahoo BM. Explainable AI in ITS: Ethical concerns. InExplainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications 2022 Aug 9 (pp. 79-90). Cham: Springer International Publishing.
- Larson DB, Harvey H, Rubin DL, Irani N, Justin RT, Langlotz CP. Regulatory frameworks for development and evaluation of artificial intelligence–based diagnostic imaging algorithms: summary and recommendations. Journal of the American College of Radiology. 2021 Mar 1;18(3):413-24.
- Feuston JL, Brubaker JR. Putting tools in their place: The role of time and perspective in human-AI collaboration for qualitative analysis. Proceedings of the ACM on Human-Computer Interaction. 2021 Oct 18;5(CSCW2):1-25.
- Guo Y, Zhang Y, Lyu T, Prosperi M, Wang F, Xu H, Bian J. The application of artificial intelligence and data integration in COVID-19 studies: a scoping review. Journal of the American Medical Informatics Association. 2021 Sep 1;28(9):2050-67.
- Matteucci F, Arzamasov V, Cribeiro-Ramallo J, Heyden M, Ntounas K, Böhm K. Generalizability of experimental studies. arXiv preprint arXiv:2406.17374. 2024 Jun 25.
- Benfradj A, Thaljaoui A, Moulahi T, Khan RU, Alabdulatif A, Lorenz P. Integration of artificial intelligence (AI) with sensor networks: Trends, challenges, and future directions. Journal of King Saud University-Computer and Information Sciences. 2024 Jan 1;36(1):101892.

Journal of Telecommunication, Switching Systems and Networks
| Volume | 12 |
| Issue | 01 |
| Received | 21/01/2025 |
| Accepted | 28/01/2025 |
| Published | 08/02/2025 |
