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17–19 June 2025

Copenhagen

Innovation Hub Pioneer Projects

Explore the unique innovation projects from leading Member companies showcasing demos on how they are working to enable the journey to Autonomous Networks Level 4.

Explore the projects:

Three projects are excited to share their exciting demos and showcase the work of diverse Member companies working together. Come to the Autonomous Networks zone to experience and be inspired by the wealth of insights and innovation on display.

  • Members: • Huawei • Saudi Telcom Company • PT Telekomunikasi Selular (Telkomsel)

  • Location: Autonomous Networks Innovation Zone, Kiosk i2.1

  • Project details:

This project is a pioneering initiative aimed at building an intelligent and ultra-resilient core network architecture. By leveraging AI-driven automation, predictive analytics, and fault-tolerant design principles, it addresses two high-value scenarios: core network fault management and dynamic network change. The solution is aligned with TM Forum’s IG1252 and GB1059 frameworks and is fully compliant with 3GPP R18’s Management Data Analytics Function (MDAF). It exemplifies Level 4 Autonomous Network (AN) capabilities through proactive anomaly detection, cross-layer fault demarcation within minutes, and closed-loop self-optimization—ensuring seamless service continuity even during critical events such as signaling storms. This approach has not only redefined fault-handling efficiency and automation maturity in the core domain but has also passed rigorous high-stability assessments, setting a new benchmark for future-ready core networks.

stc has been at the forefront of advancing Level 4 Autonomous Network capabilities by modernizing its core network with AI-native closed-loop automation. In partnership with Huawei, stc has adopted the MBB Autonomous Engine (MAE) solution, marking a paradigm shift from traditional node-centric, manual operations to a service-centric, intent-driven model. A key innovation in this transformation is the implementation of a staging environment that enables real-time verification of new features, minimizing service disruption during network evolution and significantly reducing risks associated with human intervention. By integrating AI agents into its core operations and maintenance (O&M) practices, stc can intelligently correlate, filter, and analyze alarms in real time. These agents use multi-source data and topology-aware reasoning to autonomously distinguish between symptoms and root causes—drastically reducing false positives and mean time to identify (MTTI). Deployed in production environments, the system has already demonstrated significant operational gains, including reduced alarm-handling time and improved service restoration efficiency.

Telkomsel is also actively pioneering Level 4 Autonomous Network implementations across high-value operational scenarios, with a particular focus on large-scale service protection and outage prevention. As a key contributor to TM Forum’s Catalyst program, Telkomsel has developed and deployed intelligent automation solutions for event-driven network resilience, covering more than 37 live sites across Indonesia as of late 2023. By integrating AI/ML-based prediction models with service-aware topology intelligence, Telkomsel’s core network can autonomously detect and contain signaling storms before escalation—enhancing network stability during peak or volatile traffic periods and minimizing customer impact. Additionally, Telkomsel has planned the implementation of large models to further reinforce L4 operational consistency. These initiatives not only strengthen Telkomsel’s high-stability performance but also showcase practical realization of Level 4 AN capabilities through single-domain closed-loop automation, in alignment with 3GPP R18 MDAF architecture and TM Forum standards.

  • Members: • Huawei • China Mobile

  • Location: Autonomous Networks Innovation Zone, Kiosk i2.2

  • Project details:

As the telecommunications industry continues to evolve, Level 4 Autonomous Networks (AN L4) have become both a shared vision and an industry consensus.

Among the various use cases, fault management has emerged as a top-priority High-Value Scenario for AN L4. In response to this need, TM Forum’s IG1501 series documents were developed to define solution packages specifically for fault management, providing comprehensive guidance for deployment practices.

This project, a joint initiative between Huawei and China Mobile Guangdong, aims to create a reference implementation that demonstrates how these solution packages can be effectively applied to IP network fault management within an AN L4 context. The objective is to validate the practical effectiveness of these solutions and offer a replicable model for broader industry adoption. Key outcomes include: • 90% of faults autonomously diagnosed through self-diagnosis mechanisms • Software faults resolved via remote closed-loop automation • Hardware faults rectified with a single on-site intervention

This implementation not only showcases the maturity of AN L4 in real-world network operations but also sets a benchmark for intelligent, scalable, and efficient fault management across the telecom sector.

  • Members: • ZTE • China Mobile

  • Location: Autonomous Networks Innovation Zone, Kiosk i2.3

  • Project details:

ZTE’s Multi-Agent Collaboration Innovation Hub Pioneer Project introduces a large-model fault assistant, integrating the DeepSeek-R1 model into its Nebula communication framework.

By combining knowledge graphs for dynamic fault diagnosis via a chain-of-thought reasoning approach and Agentic O&M super-agents for autonomous planning and execution, the solution enables rapid automated root-cause analysis in Radio Access Networks (RAN). This innovation supports operators in achieving closed-loop automation from intent to action, streamlining end-to-end fault management processes and driving the evolution toward highly autonomous networks.