MCP-Enabled Agentic AI for Autonomous IPoDWDM Network Lifecycle Automation
On the map: LLM agents and tool use → Agentic AI for wireless networks
Abstract (arXiv)
This demo presents an MCP-enabled agentic AI architecture for autonomous control of vendor-agnostic IPoDWDM networks. We demonstrate live end-to-end lifecycle multi-layer automation and closed-loop control using GNPy and telemetry, validated on a real testbed.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Agentic AI for wireless networks, one of 16 directions in LLM agents and tool use. Builds on 1 of its 11 references that are in the map. First posted on arXiv 7 Jul 2026.
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- 2026Agentic AI for IPoDWDM Network Lifecycle Automation: An MCP-Enabled Architecture
- 2026Agentic AI for Scalable and Robust Optical Systems Control
- 2026AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure
- 2026Toward Agentic Optical Networks: A Vision of LLM Agent-Driven Autonomous Lifecycle Management
- 2026LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization
- 2026From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective
- 2025AgentRAN: An Agentic AI Architecture for Autonomous Control of Open 6G Networks
- 2025Symbiotic Agents: A Novel Paradigm for Trustworthy AGI-driven Networks