IP Autonomous Driving Network
As the digital transformation progresses, carriers face many challenges in advancing their IP networks toward AN L4. Due to insufficient technology, network operation and maintenance efficiency is obstructed, user experience is hard to ensure, and network accidents caused by human error occur frequently.
Despite the industry's strong interest in leveraging large models to achieve network "intelligentization," it is crucial to recognize that these models must be integrated with a digital foundation to deliver tangible benefits. Without such integration, their implementation remains theoretical and impractical.
To address this, Huawei has developed the "One Map, One Brain" framework, which leverages collaborative synergies to enable carriers to achieve generational advancements in autonomous networks and reach L4.
Use Cases
iMaster NCE Network Digital Map
As the digital foundation for intelligent operations and maintenance, the Network Digital Map achieves multi-dimensional visualization of the entire network with a single map. It includes more than 20 routing factors such as bandwidth, latency, packet loss rate, and UCMP. It can perceive network changes in real time, trigger rerouting, and automatically optimize network issues to ensure SLA.
NetMaster FaultSpirit
Automatically identify faults, diagnose root causes, and provide repair suggestions, with remote self-repair for non-hardware faults. This capability relies on two key technologies:
Out-of-the-box chain of thought: AI chain of thought learns repair methods for 95% of common faults and converts them into a database; it also supports self-learning and self-arrangement of the chain of thought, quickly solidifying troubleshooting experience.
Copilot: Based on the PanGu language large model, it enables on-site maintenance engineers to perform self-inquiry and self-confirmation of site information through Copilot, reducing troubleshooting interaction time by 90%.
NetMaster OptimSpirit
NetMaster operates automatically, recording and identifying network SLA changes and their causes, delivering precise SLA analysis reports with improvement suggestions, such as link-level capacity planning guidance, pre- vs. post-upgrade comparisons of paths and services, enabling customers to achieve end-to-end network auto-optimization seamlessly.
NetMaster ChangeSpirit
Huawei has established a robust security framework for network change scenarios, ensuring zero-error access to the network.
1) Adopt digital twin technology to convert the physical network into a digital network, achieving 1:1 simulation of protocol states, routing changes, service paths, and traffic variations.
2) Utilize AI large model technology to accurately identify risks of change impacts.
