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AUTO-RAN Validation Agent
Editor Choice
AUTO-RAN Validation Agent

AUTO-RAN Validation Agent

Andrea Leone

An AI-driven validation agent designed to evaluate power-related configuration parameters, including pZeroNominal for PUCCH and PUSCH, within an Amarisoft-based 5G network Digital Twin. The agent dynamically deploys a digital twin instance, executes controlled traffic simulations, and measures achieved uplink throughput to generate performance validation results.

develop
69
22

Detailed Description

This artifact operates within a multi-agent workflow developed in collaboration with Telenor Maritime and NVIDIA. It validates the RAN configuration parameters including pZeroNominal for PUCCH and PUSCH in coordination with the Monitoring Agent and the Config Planner Agent. The Config Planner Agent receives high-level intents to either monitor KPIs or optimize the pZeroNominal parameter. When an optimization intent is issued, the Validation Agent deploys a Network Digital Twin based on Amarisoft software, executes controlled traffic simulations, and collects performance KPIs to validate the proposed configuration before production deployment.

Key Features

  • Multi-agent closed-loop coordination
  • Digital twin based configuration validation
  • Automated traffic simulation execution
  • KPI-driven performance validation

Use Cases

  • Pre-deployment configuration verification
  • Digital twin based performance assessment

External Resources

AI Agent Training


BubbleRAN open documentation
View Details

Technical Details


Version2026.02
Published23 Feb, 2026
Base
Platform:
BubbleRAN MX-PDK, MX-AI, and MX-DT

Author


Andrea Leone
Andrea Leone

Tags


  • O-RAN
  • Monitor
  • Artificial Intelligent
  • Control
  • Amarisoft

Affiliation


  • BubbleRAN

Certified By


  • BubbleRANBubbleRAN

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