A set of network intelligence analysis products serving the network domain of operators AISWare ReTiNA has a global communication data platform for the network domain and business domain, and makes use of its communication AI and machine learning algorithm engine to provide operators with a set of platforms for end-to-end planning, building, optimization and maintenance for network domain, so as to help operators improve network performance, service quality, and user perception, and realize automation and intelligence in network lifecycle management
AISWare ReTiNA provides extended scenario applications, and provides real-time network performance, service quality and user perception analysis and end-to-end fault root cause analysis capabilities based on different entities (grid, geographic equipment, crowd, time)
AISWareReTiNA provides a value analysis model for network wireless equipment, provides value evaluation basis for base station’s withdrawal from network and base station planning and construction, builds a value management system for network full lifecycle, and supports network planning, construction, operations and services
Completing the intelligent diagnosis of network problems and automatic execution of scheme with the AI algorithm models. Building the intelligent system of network in an automated way, promoting network adaptability, and improving network energy consumption
Based on the wireless AI system, it builds a bridge between mobile network performance and user-perceived experience quality. The machine learning algorithm engine is suitable for the evaluation and optimization of mobile network performance, quality, experience and value. A collection of professional algorithms improves the accuracy of analysis and evaluation
A unified network big data platform supports multi-vendor network environment, and analyzes and optimizes the network from a neutral perspective
The global data is linked to form a global insight into the network domain and business domain, and have differentiated and refined insight into VIP areas and specific customer group distribution areas (campus, transportation hubs, etc.); NFV/PaaS-enabled network big data platform
Data and intelligence driving algorithm
Geographic grid solution
Reducing customer investment
An operator’s intelligent network operations uses AI abnormity diagnosis model to complete the dynamic intelligent diagnosis of network abnormity, shortening the abnormity diagnosis time from 12h to 30m
An operator uses big data and GIS technologies to complete the intelligent management of 5G resources through 5G NR network resource, performance and alarm management.
In order to carry out intelligent energy saving based on energy efficiency, an operator uses the SSP model to build the value evaluation of network cell, and takes the value evaluation results to perform the intelligent energy saving of wireless network.