Experimental Demonstration of Autonomous Class Aware Optimization via Digital Twin Aided Optical Network Agent
Year: 2026
Type: preprint
Abstract: We demonstrate on a network testbed a Digital Twin-aided multi-agent LLM for autonomous class-aware optical network management. The system detects soft failures and autonomously adapts modulation format per service class requirements, ensuring continuous, marginless channel quality with minimal human intervention. ©2026 The
Source: arXiv (Cornell University)
Institution: Institut Polytechnique de Paris
Language: English
Topic: Optical Network Technologies
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7220740409