Intent-driven Network | ZTE

Corporation Consumer Carrier Home and Enterprise

Language

5G-Advanced

Universal Intelligence

Solution Overview

Scenarios and Problems

Fault maintenance: passive response and complex root cause analysis

Traditional troubleshooting relies on expertise. Complex alarm correlation hinders root cause analysis, leading to passive responses and high O&M costs

Network optimization: high reliance on human expertise and low efficiency

Traditional optimization depends on manual drive tests. Long parameter adjustment cycles make it hard to adapt to complex and dynamic wireless environments

Green energy efficiency: crude Strategies, constrained savings

Traditional crude energy saving policies lack real-time traffic-based scheduling, making it hard to maximize savings while ensuring optimal network performance

Service experience: perceived latency, inadequate assurance

Service experience lacks real-time visibility. Issue detection relies on complaints, failing to meet differentiated assurance needs of high-value users

Advantages and Highlights

Large model agent driven, intent loop closure

Built on the Nebula Telecom Large Model with a multi-agent collaboration architecture, it features complex intent recognition and task decomposition, achieving a fully automated closed-loop

Software-hardware collaborative native intelligence, second-level optimization

Pioneering AIREngine and site-native intelligence, it achieves millisecond-level perception and second-level execution. Capabilities like service identification and poor KQI root cause ensure rapid response of network fluctuation and peak performance

Digital twin simulation verification, zero-risk operation

Introducing a high-fidelity digital twin engine, it conducts low-cost trial-and-error and effect prediction. Full simulation verification is completed before policy provisioning to ensure operational safety

Customer Values

Ultimate quality and efficiency enhancement

Automated root cause analysis and fault agent assistance drastically shorten MTTR, reducing invalid site visits and repetitive tickets to lower OPEX

Green and low-carbon operations

Based on "One Site, One Policy" refined energy savings, it optimizes network-wide power consumption without affecting KPIs, aiding carbon peak goals

Empower value-driven operations

Shifting from KPI management to KQI operations, it assures high-value service experiences, improving user satisfaction and enhancing brand value and revenue

Further Reading