Performance Tuning of 5G Networks Using AI and Machine Learning Algorithms

Authors

  • Imran Khan Scholar, Visvesvaraya Technological University , College - MVJ College of Engineering , Bangalore
  • Archit Joshi Scholar, Syracuse University, SyracuseColma CA 94014, USA ,
  • FNU Antara Scholar, University of the Cumberlands, Kentucky, USA ,
  • Dr Satendra Pal Singh Ex-Dean, Gurukul Kangri University, Harid-war, Uttarakhand ,
  • Om Goel Independent Research-er, Abes Engineering Col-lege Ghaziabad,
  • Shalu Jain Reserach Independent Re-searcher, Maharaja Agrasen Himalayan Garhwal University, Pauri Garhwal, Uttarakhand

DOI:

https://doi.org/10.36676/jrps.v11.i4.1589

Keywords:

5G networks, performance tuning, artificial intelligence, machine learning, network op-timization

Abstract

As the demand for faster and more reliable mobile networks intensifies, the deployment of 5G has emerged as a transformative solution to meet the growing needs of connectivity. However, to fully leverage the potential of 5G networks, it is crucial to optimize their performance. This paper explores the application of Artificial Intelligence (AI) and Machine Learning (ML) algorithms in the performance tuning of 5G networks, focusing on areas such as network resource allocation, traffic prediction, and real-time decision-making. By analyzing vast datasets generated by 5G infrastructures, AI and ML enable dynamic adjustments, thereby improving network efficiency, reducing latency, and enhancing overall user experience. The integration of these advanced technologies allows for self-optimizing networks that adapt in real time, minimizing human intervention and operational costs. This research highlights the key algorithms and techniques used for performance optimization, discusses the challenges of implementing AI in real-world 5G networks, and outlines the future directions for achieving fully autonomous network management. Ultimately, the study illustrates how AI and ML are pivotal in driving the future of telecommunications through intelligent 5G network tuning.

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Cherukuri, H., Pandey, P., & Siddharth, E. (2020). Containerized data analytics solu-tions in on-premise financial services. In-ternational Journal of Research and Ana-lytical Reviews (IJRAR), 7(3), 481-491. https://www.ijrar.org/papers/IJRAR19D5684.pdf

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Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. Inter-national Journal of Computer Science and Information Technology, 10(1), 31-42. Available at: http://www.ijcspub/papers/IJCSP20B1006.pdf

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Published

31-12-2020

How to Cite

Imran Khan, Archit Joshi, FNU Antara, Dr Satendra Pal Singh, Om Goel, & Shalu Jain. (2020). Performance Tuning of 5G Networks Using AI and Machine Learning Algorithms. International Journal for Research Publication and Seminar, 11(4), 406–423. https://doi.org/10.36676/jrps.v11.i4.1589

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