mlsanityData to 7 Oct 2026

First Field Trial of LLM-Powered AI Agent for Lifecycle Management of Autonomous Driving Optical Networks

arXiv 2409.14605 ↗First posted 22 Sep 2024eess.SY cs.SYcited by 8

Not on the map. Why?

Abstract (arXiv)

We design and demonstrate the first field trial of LLM-powered AI Agent for ADON. Three operation modes of the Agent are proposed for network lifecycle management. The Agent efficiently processes wavelength add/drop and soft/hard failures, and achieves comparable performance to human-designed algorithms for power optimization.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Sep 2024.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 6.

8 papers.

  1. 2025Generative AI-Driven Hierarchical Multi-Agent Framework for Zero-Touch Optical Networkscited by 4
  2. 2025First Field-Trial Demonstration of L4 Autonomous Optical Network for Distributed AI Training Communication: An LLM-Powered Multi-AI-Agent Solutioncited by 3
  3. 2026Agentic AI for Scalable and Robust Optical Systems Controlcited by 2
  4. 2026A T-API-Compliant ReAct Agentic Loop for Optical Networks: Generic vs. Domain-Specific Tool Abstractionscited by 0
  5. 2026Agentic AI for IPoDWDM Network Lifecycle Automation: An MCP-Enabled Architecturecited by 0
  6. 2026MCP-Enabled Agentic AI for Autonomous IPoDWDM Network Lifecycle Automationcited by 0
  7. 2026Human Grounded Evaluation of Large Language Models for Optical Network Automationcited by 0
  8. 2026Toward Agentic Optical Networks: A Vision of LLM Agent-Driven Autonomous Lifecycle Managementcited by 0