University of Madras, India.
World Journal of Advanced Engineering Technology and Sciences, 2025, 14(03), 559-568
Article DOI: 10.30574/wjaets.2025.14.3.0125
Received on 26 January 2025; revised on 21 March 2025 accepted on 28 March 2025
The telecommunications industry is undergoing a profound transformation as the convergence of 5G networks and generative artificial intelligence (GenAI) reshapes the way communication service providers (CSPs) operate, optimize, and innovate. This research paper explores how GenAI, when augmented by scalable and intelligent AWS cloud infrastructure, enables dynamic network automation, predictive diagnostics, personalized customer engagement, and entirely new business models. Drawing from six foundational industry sources, the paper investigates the functional architecture, strategic deployment, and business value of GenAI applications within the telecom ecosystem, particularly in the context of 5G. It also examines the integration of tools like Amazon SageMaker, Bedrock, and Neptune, illustrating how they underpin GenAI workflows for CSPs. Real-world use cases, such as intelligent network prediction via Graph Neural Networks and GenAI-powered virtual assistants, are analyzed alongside challenges like legacy infrastructure, data governance, model transparency, and regulatory compliance. The paper concludes by providing strategic recommendations for future adoption and highlights the critical role of AI-as-a-service models and edge-based inferencing in the next phase of telecom innovation. This research underscores the shift of CSPs from connectivity providers to AI-driven digital service enablers, signaling a new era of intelligent, adaptive, and resilient telecommunications.
Generative AI; 5G Networks; AWS Cloud Infrastructure; Telecommunications
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Jayavelan Jayabalan. GenAI-Augmented AWS Infrastructure Management for 5G Telecom Networks. World Journal of Advanced Engineering Technology and Sciences, 2025, 14(03), 559-568. Article DOI: https://doi.org/10.30574/wjaets.2025.14.3.0125.