PreprintarXiv licencearXiv
Experimental Demonstration of Autonomous Class Aware Optimization via Digital Twin Aided Optical Network Agent
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
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BibTeX
@misc{lawson2026experimental,
title = {{Experimental Demonstration of Autonomous Class Aware Optimization via Digital Twin Aided Optical Network Agent}},
author = {Marc Lawson and Ambashri Purkayastha and Camille Delezoide and Andrea Sgambelluri and Nicola Sambo and Patricia Layec},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.06599},
eprint = {2610.06599},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.06599},
}
RIS
TY - UNPB
TI - Experimental Demonstration of Autonomous Class Aware Optimization via Digital Twin Aided Optical Network Agent
AU - Marc Lawson
AU - Ambashri Purkayastha
AU - Camille Delezoide
AU - Andrea Sgambelluri
AU - Nicola Sambo
AU - Patricia Layec
PY - 2026
DA - 2026/10/05
PB - arXiv
DO - 10.48550/arxiv.2610.06599
UR - https://arxiv.org/abs/2610.06599
AB - 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
ER -