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.
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.
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.
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.