XiNOS Deployments

Wave-In’s XiNOS is utilized by mobile operators and organizations with private networks.
Below are just a few of our clients…

NOKIA & ERICSSON OSS TEAM CHOSEN XINOS FOR

Quality Assurance & Operation Efficiency

XiNOS collects OSS data and monitors KPIs of the mobile network. The platform utilizes AI to automatically detect network anomalies, providing valuable insights for the operation teams. The team can then take prompt actions based on these insights and resolve network problems when encountered. XiNOS is also beneficial as it provided the team with better-planned investment in infrastructure and cost-effectively optimized their network performance.

TTC Chosen XINOS & affirmed networks for

Analytic Solution for NB-IoT Applications

First, Affirmed’s NFV mobile core enables operators to economically scale networks, deliver differentiated services tailored to specific use cases, and improve overall customer experience. XiNOS then collect EDR/EMS data to perform data warehousing and indicate KPIs. The platform also creates user-friendly visualized dashboards to show insights at-a-glance, facilitate decision making, and project future actions.

BEFORE AND AFTER

Deployment Benefits

XiNOS allows easy access to business metrics and help orchestrate streaming systems based on meta data management. The platform's visualization ability can help clients to create values by finding actionable insights.

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KPI Anomoly Detection

Monitoring 100,000 cells, each of which comes with 100 KPIs. It’s almost impossible to monitor cell-level KPI anomalies manually with traditional BI dashboards.

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Machine Learning

By Machine Learning algorithm, XiNOS automatically detects abnormal KPIs and their correlations, providing actionable insights for your mobile network.

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GIS Analytic Engine

Empowered by geographic information system, XiNOS helps you be on the top of your mobile network at one glance, and analyze the data-set on map with a single-click.

3 major XiNOS deployments

1

Mobile
Operators

2

Organizations with
private networks

3

Data
Centers

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