#China #Shenzhen #Huawei #ICNMaster #Multi-Agent

Introduction

In today's digital age, the stability of network systems is paramount for modern living and economic activities. The core network acts as the brain of this infrastructure, and any disruption can have far-reaching consequences affecting millions of users. Recognizing this reality, Huawei has launched the ICNMaster MDAF, a sophisticated system leveraging MoM (Mixture of Models), multi-agent collaboration, and digital twin technology to amplify network stability.

The Need for Stability

As digital services diversify alongside the advent of 5G and cloud technologies, the need for resilient network solutions has intensified. Operators face numerous challenges, including software-hardware decoupling, complex cross-generational APIs, and various network failures. According to GlobalData, 42% of network operators have experienced core service disruptions in the past three years, with increasing frequency alarming the industry.

Addressing Reliability

To assist operators in enhancing core network reliability, the TM Forum has established evaluation standards focused on high stability. Multiple operators have participated in these assessments, leading to a consensus around the necessity for heightened reliability. Huawei's ICNMaster MDAF aims to fulfill operators' high stability requirements through intelligent systems that facilitate proactive risk management, fast fault resolution, and service recovery in a matter of minutes.

Innovative Technologies in ICNMaster MDAF

Huawei's approach incorporates several groundbreaking innovations:

MoM Architecture

The MoM architecture represents a significant leap from traditional single-model frameworks. By merging the efficiency of fast-inference models with deep reasoning capabilities (like DeepSeek), the system dynamically allocates tasks. Routine incidents are swiftly managed by quick-response models, while complex anomalies are directed to models capable of in-depth analysis. This dual-model strategy fosters rapid reactions and precise handling of challenges.

Multi-Agent Collaboration

Unlike conventional single-agent automatons, Huawei's multi-agent collaboration technology successfully integrates multiple agents for comprehensive problem-solving. This orchestrated effort includes conflict resolution and validation of recovery actions through the network's digital twin system. By ensuring corrective measures are effective before implementation, the system realizes a self-correcting loop of perception, analysis, decision-making, and execution.

Conclusion

Huawei's MoM-based multi-agent solution is not merely an upgrade; it signifies a pivotal advancement towards fully autonomous networks. It empowers operators to not only provide connectivity but also establish a resilient, future-ready digital foundation. This innovation resolves the longstanding tension between network stability and operational efficiency, marking a fundamental shift in the telecommunications sector's operational paradigm from being network-centric to user-focused. The 'Agent + Digital Twin' cooperative model validated by this system lays the groundwork for realizing fully autonomous networks in the future.