ZTE Leverages AI to Empower L4 Autonomous Networks for Smarter Broadband Operations
As 5G and AI reshape telecommunications, ZTE introduces AI-powered solutions to build L4 autonomous networks. Focusing on four core areas with six key projects, this approach delivers cost savings, improves efficiency, and drives faster revenue growth.
Autonomous Network Planning: AI-Powered Resource Optimization
Traditional PON networks face challenges with uneven resource use—some ports remain underutilized while others get congested. ZTE’s solution uses AI for traffic analysis and user growth forecasting to spot these imbalances automatically. It visualizes optimization plans that activate dormant resources, boosting PON port utilization by 23%. This shifts network planning from reactive fixes to proactive management.
Autonomous Network Operation: AI-Driven Fault Diagnosis and Self-Healing
Fast Fault Diagnosis and Self-Healing at the Service Level
Increasing home broadband use makes manual fault resolution slow and inefficient. ZTE’s intelligent OLT cards gather end-to-end data—from home devices to content sources—to pinpoint root causes of quality issues across seven network segments. The system automatically fixes soft faults like Wi-Fi misconfigurations, cutting fault recovery time by 30% and reducing the need for on-site maintenance.
LLM-Enabled Natural Language Fault Diagnosis
Diagnosing faults traditionally relied on senior engineers interpreting complex data. ZTE integrates Large Language Models (LLMs) and Text-to-SQL technology, allowing network operators to interact in natural language for data mining and root cause analysis. The system produces clear diagnostic reports and user-friendly interfaces, lowering technical barriers and speeding up operations.
Autonomous Network Optimization: Proactive Quality Enhancement & Energy Savings
From KPI to Customer Experience Management (CEM)
Network KPIs don’t always capture user dissatisfaction, as many users don’t report issues. ZTE’s CEM platform, combined with intelligent OLT 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 drops and their root causes, reducing customer complaints by 20%.
Intelligent Energy Management
Managing energy savings manually becomes error-prone as OLT networks scale. ZTE’s autonomous solution analyzes PON traffic and equipment consumption to create automated energy-saving plans. It achieves 95% automation and lowers average equipment power use by 10%, balancing performance with eco-friendly operation.
Autonomous Network Marketing: AI-Driven Precision Marketing
Traditional marketing success rates hover around 3%, often missing customer-specific needs. ZTE uses customer experience data to build AI-driven “diamond model” user profiles that recommend personalized packages automatically. Testing shows this approach can boost marketing success rates to between 10% and 30%, shifting marketing from broad campaigns to precise, user-focused strategies that improve satisfaction and revenue.
Looking ahead, ZTE plans to deepen its use of AI agents, LLMs, and other advanced technologies to enhance autonomous networks. The goal is to lead telecom digital transformation and set new benchmarks for intelligent, efficient, and sustainable network operations.
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