ZTE and China Telecom Unveil Intelligent IP Network with AI-Driven Automation and Digital Twin Technology

June 18, 2026
ZTE and China Telecom Unveil Intelligent IP Network with AI-Driven Automation and Digital Twin Technology
  • ZTE and China Telecom Guangdong are upgrading functions and expanding application scenarios to evolve HI-IPNet into a high-performance, intelligent IP network core platform, enabling intelligent scheduling and global cross-network coordination.

  • The solution delivers over 95% digital twin fidelity for device status and routing protocols, boosting predictive O&M and reducing safety risks in network operations.

  • Agentic AI at the edge has moved from pilots to live deployments, with operators planning extensive use in 2026 for autonomous fault resolution, automated customer interactions, and churn prevention.

  • Four pillars — AI-native operations, digital twins, agentic AI at the edge, and intent-based orchestration — underpin the foundation of the intelligent network.

  • Risks and challenges include the need for explainability, data unification, workforce evolution toward AI governance, and robust zero-trust security.

  • A distributed cross-vendor simulation architecture enables collaboration across vendor simulators under a unified global coordinator, reducing costs and improving scalability.

  • The convergence multiplier shows how fiber-5G, edge computing, private 5G, and early 6G developments amplify each other, with AI-native networks benefiting from this convergence.

  • Intent-based orchestration lets operators specify desired outcomes (e.g., 99.99% uptime) and lets the network determine how to achieve them under changing conditions, unlocking new revenue streams.

  • Phased pilots in Foshan and Yangjiang demonstrated multi-vendor interworking across metro networks, addressing more than 90% of common change scenarios.

  • The overarching aim is for infrastructure to be intelligent and adaptive, redefining telecoms from mere connectivity providers to orchestrators of digital ecosystems.

  • Field tests show pre-simulation verification cuts network change risks and enables zero-error operations, forming a foundation for nationwide rollout.

  • AI-native operations embed intelligence into the network fabric to manage vast ecosystems across 5G, fiber, edge, and IoT, enabling real-time anomaly detection and proactive management.

Summary based on 2 sources


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