Network Automation - ZTE SDN/NFV

Network Intelligence Introduction

With the continuous deepening of digital transformation, the traditional operation mode of operators is in urgent need of change. In the face of complex traditional network management and difficult location and recovery of service faults, ZTE launched an end-to-end network intelligence solution to help operators achieve digital transformation of operation by combining with the requirements of the operation support system after SDN/NFV network virtualization.

Based on deep understanding of telecom services, ZTE's template-based hierarchical design shields the details of service implementation, and provides users with a simple and easy-to-use unified self-service portal for intelligent end-to-end network provisioning. It provides network delimiting and locating tools to implement associated analysis of faults on the service layer, VNF layer, virtualization layer, and physical layer. The light weight AI engine is introduced to implement VNF status backtracking and horizontal association analysis of multi-VNF performance data.

Customer Value

Intelligent Planning

Based on big data analysis and AI prediction, it identifies value zones, rapidly converts service requirements into network requirements, and automatically designs network parameters and pre-plans networks, improving network planning efficiency.
Intelligent Deployment

With automatic deployment tools, it automatically installs and deploys all layers of the network, configures and checks data, intelligently matches test scenarios and cases, and automatically tests service functions and interfaces. The deployment period is shortened from several weeks to several days.
Intelligent Maintenance

Through 3600 comprehensive detection of network health, it perceives abnormal network KPs, and based on time sequence algorithm, it predicts faults and network problems, changing from passive O&M to active O&M. When any abnormality occurs, it carries out fault delimiting and locating quickly through associated analysis such as CHR (Call History Record), alarm and log.
Intelligent Optimization

It predicts and evaluates user perception, service quality, and network status by collecting resource, load, and traffic data in real time, and dynamically adjusts network resources, topologies, paths, and parameters to eliminate potential network problems and ensure high-quality network operation.

Products

Privacy Cookie Policy Sitemap

Cloud & Network Synergy

Accelerating ICT transformation and service innovation

Network Intelligence Introduction

Network Convergence Management

5G Network Slicing Management

VNF

Cloud Infrastructure

MANO

ICT Hardware

Integration

VNF

Cloud Infrastructure

MANO

MEC

Integration

Cloud & Network Synergy

Accelerating ICT transformation and service innovation

Network Intelligence Introduction

ElasticNet UME

Network Convergence Management

5G Network Slicing Management