Intelligent infrastructure: How AI is transforming OTNs

2026-03-20 · Source: Tech Monitor · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Cybersecurity & Data Privacy · Depth: Intermediate, short

Summary

At MWC Barcelona 2026, Huawei Vice President Gavin Chen detailed the company's strategy to integrate AI into optical transport networks (OTNs), transforming them from passive data pipelines into intelligent infrastructure. Huawei, a leader in optical transmission for 17 years with over 8,000 R&D experts, is driving this shift by embedding AI computing directly into network devices for enhanced transmission, sensing, and O&M. Key innovations include the fgOTN solution, launched at MWC 2024, which enables combined communication and sensing on a single optical fiber, and native integration of quantum key distribution (QKD) for absolute security. Huawei also introduced NOEMate, an AI-powered O&M assistant that diagnoses faults within minutes and proactively prevents up to 40% of issues, significantly reducing operational complexity and cost for critical infrastructure sectors.

Key takeaway

For CTOs and network architects evaluating future infrastructure investments, Huawei's AI-powered OTN strategy suggests a shift towards integrated, intelligent optical networks. You should prioritize solutions that embed AI for enhanced sensing, native quantum security, and automated O&M to reduce complexity and TCO, especially for critical private networks. Consider how these integrated capabilities can shorten deployment cycles and improve network resilience.

Key insights

AI integration transforms optical transport networks into intelligent, self-optimizing, and secure digital infrastructure.

Principles

• Embed AI directly into network devices.
• Integrate communication and sensing on optical fiber.
• Build quantum security natively into transport systems.

Method

Huawei's approach embeds AI into OTN devices, integrates QKD for security, and uses AI-powered O&M tools like NOEMate for proactive fault prevention and rapid diagnosis.

In practice

• Use optical fiber as a sensor for real-time monitoring.
• Deploy QKD boards for high-speed, quantum-secure services.
• Implement AI modules for automated network diagnosis.

Topics

• Optical Networks
• AI-powered O&M
• Quantum Key Distribution
• Optical Transport Networks
• Network Sensing

Best for: CTO, Executive, AI Architect, MLOps Engineer, Security Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech Monitor.