Edge Agentic AI Framework for Autonomous Network Optimisation in O-RAN

TL;DR

This paper introduces an innovative Edge AI framework for autonomous network optimization in Open RAN, combining multi-tools architecture, anomaly detection, and safety mechanisms to enhance reliability and performance in 6G networks.

Contribution

The paper presents a novel Edge AI framework with persona-based decision-making, proactive anomaly detection, and safety rewards, integrated into RIC for autonomous network management.

Findings

Achieves zero network outages under high-stress conditions.

Reduces outage rate from 8.4% to near zero compared to traditional methods.

Maintains near real-time responsiveness and consistent QoS.

Abstract

The deployment of AI agents within legacy Radio Access Network (RAN) infrastructure poses significant safety and reliability challenges for future 6G networks. This paper presents a novel Edge AI framework for autonomous network optimisation in Open RAN environments, addressing these challenges through three core innovations: (1) a persona-based multi-tools architecture enabling distributed, context-aware decision-making; (2) proactive anomaly detection agent powered by traffic predictive tool; and (3) a safety, aligned reward mechanism that balances performance with operational stability. Integrated into the RAN Intelligent Controller (RIC), our framework leverages multimodal data fusion, including network KPIs, a traffic prediction model, and external information sources, to anticipate and respond to dynamic network conditions. Extensive evaluation using realistic 5G scenarios demonstrates that the edge framework achieves zero network outages under high-stress conditions, compared to 8.4% for traditional fixed-power networks and 3.3% for large language model (LLM) agent-based approaches, while maintaining near real-time responsiveness and consistent QoS. These results establish that, when equipped with the right tools and contextual awareness, AI agents can be safely and effectively deployed in critical network infrastructure, laying the framework for intelligent and autonomous 5G and beyond network operations.