#China #Shenzhen #Huawei #ICNMaster #Digital Twin

Transforming Network Stability with Huawei's Multi-Agent Collaboration System

In today's digital world, the success of various aspects of life, including economic activities, significantly depends on the stability of network systems. As networks are considered the brain of our interconnected environments, their operational reliability is paramount. An unstable network can negatively affect millions of users, leading to profound societal consequences.

Introducing ICNMaster MDAF

In response to the critical need for stable networks, Huawei has introduced ICNMaster MDAF, a highly stable system designed using a mixture of models and multi-agent collaboration technologies. By employing digital twin technology, ICNMaster MDAF achieves rapid, proactive risk prevention, swift fault detection, and service restoration within minutes, thereby significantly enhancing the global operators' transition towards L4 network stability.

The Evolution of Network Services

As the landscape evolves with the introduction of 5G and cloud technologies, service diversity continues to grow. However, this diversification has introduced challenges, including the separation of software and hardware, interoperability issues between different generations of technology, complexity in inter-generation API management, an increase in signaling, and network interruptions. According to a GlobalData report, 42% of operators have reported service interruptions in their core networks over the past three years, with the frequency of these disruptions increasing annually. This growing concern has prompted the industry to seek improved reliability in network cores.

Addressing the Need for Reliable Networks

In recognition of this pressing need, TM Forum has established a standard for assessing the high reliability of core networks. Numerous operators are engaging in this assessment, highlighting the collective quest for enhanced network stability across the sector. Huawei's launch of the ICNMaster MDAF aims to meet these objectives with groundbreaking technologies, including multi-agent collaboration and pervasive digital twin synergies.

From ‘Single Model Architecture’ to ‘Multi-Model Architecture’

Huawei's approach heralds a departure from traditional single-model architectures, achieving breakthroughs across diverse scenarios through its MoM (Mixture of Models) architecture. This innovative design maximally leverages the benefits of both rapid inference and advanced reasoning techniques, such as DeepSeek. The intelligent traffic routing framework dynamically allocates tasks based on urgency, ensuring that routine, high-frequency incidents are addressed promptly, while complex anomalies requiring deep analysis are delegated accordingly.

Enhancing Automation with Multi-Agent Collaboration

Moving beyond traditional single-agent automation, which was limited to isolated scenarios, the collaboration of multiple agents allows for seamless coordination and conflict resolution. Each recovery action validated through a digital twin system guarantees both precision and efficacy before implementation in live networks, culminating in an automation loop of sensing, analyzing, decision-making, and executing.

Pioneering Fully Autonomous Networks

Huawei’s ICNMaster MDAF signifies more than mere enhancements; it marks a pivotal step towards achieving fully autonomous networks. This intelligent design empowers operators to offer not only connectivity but a resilient, forward-looking digital foundation. It adeptly resolves the longstanding challenges between network stability and operational efficiency, thus signifying a critical strategic shift in the operational model of the telecommunications industry from network-centric to user-centric. The agent plus digital twin paradigm validated by this system lays a robust technical and practical foundation for the realization of fully autonomous networks in the future, ensuring that the demands of modern society for stable, reliable digital services are met with the highest standards of excellence.