AISWare ReTiNA Intelligent Network Planning and Optimization Platform

AISWare ReTiNA is a set of wireless network performance optimization system driven by artificial intelligence and big data algorithm. The system provides integrated system solution of 4 / 5G communication network planning, construction, optimization and maintenance for operators by using the methods of end-to-end signaling association analysis and grid aggregation analysis. The software uses intelligent network problem analysis to accurately analyze network scenario problems, uses signaling based end-to-end analysis to enhance users' mobile network awareness, and uses process engine to complete closed-loop network management. The product gives full play to the advantages of the AsiaInfo mature artificial intelligence platform and professional communication network intelligence analysis model, helps operators greatly improve the operation and maintenance / operation efficiency, reduce the operation and maintenance expenditure, and improve customer satisfaction.

Functional architecture

Product advantages

Global Analysis

:Integrate O-domain and B-domain data for multi-dimensional data analysis to locate network problems.
User Level Analysis

Playback user real perception based on XDR data, and reproduce user exceptions from detailed user signaling information.
Centralized Management

Based on centralized network intelligent production platform, build personal workbench with process engine, and conduct intelligent analysis in different process.
Feature Intelligence

AI platform is used to complete intelligent analysis of specific feature, and improve accurate solution output.
Cloud Deployment

Deployed on NFVi /PAAS to fulfill rapid iteration, agile release, rapid deployment, gray-scale upgrade and horizontal expansion.

Customers

AISWare ReTiNA is suitable for Telecom operators to realize network exception dynamic intelligent diagnosis, 5G NR resource management, network intelligent energy saving, network multi-dimensional value evaluation and other application scenarios.

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