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Big data analytics meets radio engineering

With billions of dollars of CAPEX in play, networks demand modernized RAN performance analytics

Opanga Networks introduces Merlin

Mobile operators around the world struggle with rudimentary and archaic RAN analytics solutions supplied by the legacy RAN vendors. RAN KPIs averaged over 60-minute intervals provide
minimal actionable insight into consumer experience performance which is required for accurate and targeted CAPEX deployment. Operators are deploying brand new networks and should demand
state of the art RAN analytics.

Today’s RAN KPI Model

Merlin RAN Data Science Model

Real time correlation of RAN performance and consumer experience

Understanding cell performance is strategically critical to Mobile Service Provider Operations. Yet outdated RAN KPI technology provides limited correlation between radio network performance and CXToday’s RAN analytics tools obfuscate meaningful network performance metrics through long averaging and poor accuracy. Clear and Confident view of operational RAN performance – Accurate, Reliable, Holistic with real time event and alarm triggering.

Merlin product advantages

Merlin is a Radio Access Network Deep Learning analytics platform, which leverages Machine Learning technology to bring big data analytics methodology to radio engineering.

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Second by second

Second by second cell-level RAN CX performance database

 

Machine learned data ensures relevant site selection

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Easy, single-server deployment

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Detailed, holistic view

Detailed, holistic view of network performance from a CX standpoint.

 

RAN KPI’s

Provides extensive commercial insight into the RAN.

 

Utilizes mirrors instead of inline – no risk of traffic interruption

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Key Merlin use cases

This platform collects a variety of network performance metrics and generates cell-level analytics to meet many unique use-cases. Merlin can be expanded to receive and send information to / from any external source, providing a global view of network traffic and statistics.

Consumer Experience Performance Triggers

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Pre/Post-CAPEX Upgrade Audit & Verification

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Network Wide Spectrum Utilization Audit

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Pre-Upgrade Capacity Impact Prediction

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Consumer Experience Capacity Forecasting

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Machine learning platform built on RAN inference engine

Merlin provides a real-time view of traffic characteristics across every cell in the network and across a variety of application types. When triggered, second by second metrics help users better understand their network and allow for problems to be solved more efficiently.

ML Radio Inference provides a level of information that RAN KPIs can’t

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