# Agentic AI for IPoDWDM Network Lifecycle Automation: An MCP-Enabled Architecture

arXiv: https://arxiv.org/abs/2607.05958 · HTML: https://mlsanity.com/paper/2607.05958/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Placed in Agentic AI for wireless networks, one of 16 directions in LLM agents and tool use.
- Builds on 2 of its 11 references that are in the map.
- First posted on arXiv 7 Jul 2026.

## Placed in

- LLM agents and tool use / [Agentic AI for wireless networks](https://mlsanity.com/agents/agentic-ai-for-wireless-networks/)

## Builds on (most cited first, 2 of 2)

- [First Field Trial of LLM-Powered AI Agent for Lifecycle Management of Autonomous Driving Optical Networks](https://mlsanity.com/paper/2409.14605/) (2024)
- [Generative AI-Driven Hierarchical Multi-Agent Framework for Zero-Touch Optical Networks](https://mlsanity.com/paper/2510.05625/) (2025)

## Abstract (arXiv)

We present a distributed, vendor-agnostic multi-MCP architecture for SDN-based automation and autonomous control of multi-vendor, multi-layer IPoDWDM networks. The framework enables E2E service lifecycle automation, closed-loop cross-layer control using GNPy model and optical telemetry, and is experimentally validated on a IPoDWDM testbed.