GRENZE International Journal of Engineering and Technology
Vol. 11
(2025), Issue 1
5G Network Management Framework for Improved Customer Experience using Artificial Intelligence and Big data
Authors
Humashankar Vellathur Jaganathan, Prakash Murugesan
Abstract
In the dynamic landscape of wireless communication, 5G technology has revolutionized connectivity, demanding unprecedented efficiency and reliability. To address these demands, artificial intelligence (AI) is leveraged as an active agent in network optimization. AI-driven algorithms, including machine learning and neural networks, are employed, to optimize resource allocation, predict maintenance needs, and enhance network efficiency. The methodology analyses extensive real-world testing and evaluation, demonstrating significant improvements in key performance metrics such as latency, throughput, and spectral efficiency. The research not only exemplifies the efficacy of AI-driven techniques but underscores the pivotal role of responsible AI implementation. Ethical considerations, including data privacy and security, were addressed, to ensure the seamless integration of AI into 5G networks. This paper provides a comprehensive overview of how AIdriven techniques can revolutionize 5G networks, unlocking their full potential for diverse applications while upholding ethical standards. It offers valuable insights for network operators and researchers striving to optimize 5G network performance in the AI era.
Pages:
5217 - 5226