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The exponential growth in data complexity and network heterogeneity within Beyond-5G (B5G) infrastructures demands a paradigm shift in data analytics and network intelligence. This chapter explores the integration of Large Language Models (LLMs) into predictive and real-time analytics for B5G networks, leveraging the AI-as-a-Service (AIaaS) architectural pattern. We outline methodologies involving corpus enrichment, LLM-ML teaming, and real-time semantic interpretation to facilitate intelligent, explainable, and risk-governed network operations. Practical use cases, implementation guides, and future directions are presented along with seven figures detailing technical architectures and workflows.

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Advanced Data Management and Analytics Using LLMs for B5G Networks

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  • 发表日期：

    2026年

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  • Pankaj Thorat

摘要

The exponential growth in data complexity and network heterogeneity within Beyond-5G (B5G) infrastructures demands a paradigm shift in data analytics and network intelligence. This chapter explores the integration of Large Language Models (LLMs) into predictive and real-time analytics for B5G networks, leveraging the AI-as-a-Service (AIaaS) architectural pattern. We outline methodologies involving corpus enrichment, LLM-ML teaming, and real-time semantic interpretation to facilitate intelligent, explainable, and risk-governed network operations. Practical use cases, implementation guides, and future directions are presented along with seven figures detailing technical architectures and workflows.