Network Geolocation Insight NGI

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Intelligent Network Quality Insight and Analysis Automatic Antenna Pattern Control(AAPC)
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Solution Overview

Network Geolocation Insight NGI

With the full development of 5G network construction, how to implement efficient optimization of 4G/5G network and improve user perception has become a major subject. NGI(Network Geolocation Insight) wireless network planning and optimization solution, through mining and analyzing of mass radio data, provides comprehensive analysis and geographic visualization of network performance, service quality, user experience and terminal capability.

Scenarios and Problems

Complex O&M

The radio network involves 4G/5G multi-RAT and multi-band, and the network layers are complicated, which is difficult for O&M.

Coverage Complaints

In the early stage of 5G network construction, there are many user complaints, and the main root cause is coverage

Unbalanced Traffic Load

Low 5G usage in early stage with serious backflow problem, while the load of 4G network is higher than before

Advantages and Highlights

Massive Multi-dimensional Data

NGI bases on 4G/5G radio network MR and CDT data, as well as engineering parameters and terminal information

Microservices, Cloud platform

ZTE self-developed TECS OpenPalette PaaS platform, microservices and DevOps cloud native infrastructure

Web Client with Multi-task Mode

Customer can access the web client through browser without installation, complex computing is delivered as task, and the analysis result does not need to wait

Automatic and Intelligent

Various evaluation reports can be automatically output in a one-click manner for easy reading, distribution, and archiving. AI engine embedded to support various intelligent algorithms

Customer Values

Improve Optimization Efficiency

Supports user complaint handling and service quality analysis, rapidly identifies root causes that affect network quality and user experience, improves visual network operation efficiency

Save Cost, Reduce OPEX

Through automatic analysis of massive data, the network coverage quality and abnormal events can be evaluated and analyzed inhouse

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