ICNMaster Enhances Network Stability by Transitioning to Level 4 Autonomous Networks

ICNMaster's Role in Advancing Autonomous Networks

As the global digital transformation accelerates, the adoption of Autonomous Networks (AN) is becoming standard within the industry. In 2024, a remarkable 73 global partners contributed to the sixth edition of the TM Forum’s white paper on AN, with 61 companies signing the AN Manifesto, indicating a large-scale adoption of ANs in the telecommunications sector. These autonomous networks leverage artificial intelligence (AI) for effective network operation management (NOM), facilitating a significant transformation in the operators' digital intelligence.

The Shift Towards Level 4 Autonomous Networks

Huawei's smart central network operation management solution, ICNMaster, has been pivotal in steering operators towards Level 4 AN. This transition focuses on high-value scenarios, developing end-to-end (E2E) autonomous and intelligent capabilities that adapt to network changes and efficiently manage faults. Such advancements will greatly improve both the efficiency and stability of NOM, addressing the increasing service demands that conventional network operations can no longer meet.

Conventional NOM relies heavily on manual interventions, which are becoming inadequate due to the rising frequency of network incidents and soaring operational and maintenance costs. These pressures could potentially harm brand loyalty, prompting operators to prioritize enhancing the stability of their core network operations.

Streamlining Operations with ICNMaster

Traditional troubleshooting methodologies depend on expert experience and complex tools, making the process labor-intensive and inefficient. ICNMaster employs AI, telecommunications foundation models, and digital twins to quickly detect, analyze, and resolve network faults, thereby minimizing the need for human intervention. This capability not only saves time but also ensures rapid resolution of service-related issues. With ICNMaster, diagnostic processes can automatically ascertain faults and deliver solutions within minutes, maximizing service continuity.

Moreover, ICNMaster's agents facilitate various operational tasks such as complaint analysis, alarm handling, fault rectification, service provision, and configuration changes. This collaborative environment fosters continuous process optimization, significantly reducing the tedious manual tasks often faced by central network engineers and freeing them for more specialized projects. Consequently, this collaboration enhances the overall operational capacity of the team.

Achieving High Stability Standards

In November 2024, high stability assessment standards were introduced with participation from over 20 leading operators. The TM Forum released a white paper focusing on evaluating these standards, where operators began emphasizing fundamental mechanisms for fault detection and recovery. Level 4 ANs stand out due to their advanced self-healing capabilities and network reliability, enabling the system to autonomously suggest recovery pathways even under extreme failure scenarios, thereby ensuring uninterrupted services.

Looking ahead, Huawei is poised to remain at the forefront of innovation, assisting operators as they redefine their operational strategies from Level 3 to Level 4. The commitment to enhancing network resilience and maintaining high service quality will be crucial as the industry evolves.

As we enter this new digital era, the significance of transitioning to Autonomous Networks is clear. ICNMaster is not just a solution; it's a comprehensive approach to ensuring that networks are not merely functional but excel in stability and efficiency, underscoring the digital future of telecommunications.