ZTE Leverages AI to Empower L4 Autonomous Networks for Smarter Broadband Operations
As 5G and AI reshape telecommunications, ZTE introduces solutions to create an L4 autonomous network powered by AI. The focus is on four core areas through six innovative projects that aim to cut costs, improve efficiency, and boost revenue in broadband operations.
Autonomous Network Planning: AI-Powered Resource Optimization
Traditional PON networks often suffer from uneven resource allocation, with some ports idle while others face congestion. ZTE’s autonomous network solution uses AI to analyze traffic and forecast user growth, automatically spotting underutilized or overloaded ports. This approach visualizes optimization strategies and activates dormant resources without manual effort, increasing PON port utilization by 23%. It shifts network planning from reacting to problems toward proactively managing resources.
Autonomous Network Operation: AI-Driven Fault Diagnosis and Self-Healing
Fast Fault Diagnosis and Self-Healing at the Service Level
With rising home broadband usage, delays in fault resolution due to manual root cause analysis have become a bottleneck. ZTE’s solution employs intelligent OLT cards to collect end-to-end data—from the home to the content source—allowing accurate identification of quality issues across seven network segments. It automatically fixes soft failures such as Wi-Fi configuration problems, reducing fault recovery time by 30% and cutting down on-site maintenance visits.
LLM-Enabled Natural Language Fault Diagnosis
Traditionally, analyzing content source and user issues with poor QoE depended heavily on senior engineers, limiting efficiency. By integrating Large Language Models (LLMs) and Text-to-SQL, ZTE enables natural language querying for data mining and root cause analysis. This generates clear diagnostic reports and user-friendly interfaces, lowering technical barriers and improving operational efficiency.
Autonomous Network Optimization: Proactive Quality Enhancement & Energy Savings
From KPI to Customer Experience Management (CEM)
Standard KPIs often miss silent dissatisfied users. ZTE’s CEM platform, combined with OLT intelligent cards, uses big data and AI to create detailed user experience profiles. By breaking down data silos and applying knowledge graphs, it identifies users facing quality issues and pinpoints root causes. This approach has reduced customer complaints by 20%.
Intelligent Energy Management
Manual energy-saving efforts become error-prone as OLT scales grow. ZTE’s solution analyzes PON traffic and equipment energy use to generate automated energy-saving plans, achieving 95% automation and cutting average equipment power consumption by 10%. This balances network performance with eco-friendly operation.
Autonomous Network Marketing: AI-Driven Precision Marketing
Traditional marketing often achieves a 3% success rate and misses personalized customer needs. ZTE uses customer experience data to create AI-driven “diamond model” user profiles that recommend customized packages automatically. Testing shows marketing success rates can improve to 10%-30%, turning marketing into a precise, data-backed process that enhances user satisfaction and revenue.
Looking ahead, ZTE plans to deepen work on AI agents, LLMs, and related technologies to push autonomous network innovation further. The goal is to set new standards for intelligent, efficient, and sustainable telecom network operations.
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