Agentic AI for Service Assurance in Fixed Broadband Networks: A Conceptual Framework for Intelligent NOC Operations

作者：Mohammad Mustafa · 发表于：International Journal for Research in Applied Science and Engineering Technology · 年份：2026 · DOI：10.22214/ijraset.2026.83601

Fixed broadband operators are increasingly challenged by the growing complexity of fiber access networks, heterogeneous home Wi-Fi environments, rising customer expectations, and the need to improve operational efficiency while maintaining service quality. Conventional service assurance approaches largely rely on rule-based monitoring, fragmented operational support systems, and manual intervention by Network Operations Center (NOC) teams. Although Artificial Intelligence (AI) and Machine Learning (ML) have been applied to fault prediction, anomaly detection, and customer experience analytics, these implementations often operate as isolated solutions with limited autonomy and cross-domain coordination.Recent advances in Agentic Artificial Intelligence (Agentic AI) provide an opportunity to transform service assurance through intelligent agents capable of reasoning, planning, knowledge retrieval, and workflow execution. This paper proposes a conceptual framework for integrating Agentic AI into fixed broadband service assurance processes. The framework combines operational data sources, predictive ML models, Large Language Model (LLM)-based intelligence, multi-agent orchestration, and human-in-theloop governance to support proactive and explainable operational decision-making.The proposed architecture demonstrates how Agentic AI can enhance key assurance functions, including automated root cause analysis, proactive Quality of Experience (QoE) degradation detection, intelligent ...