AXTRACT | Quality of Experience (QoE) Monitoring

Enhance Service Quality Through Proactive Management and Predictive Maintenance

Achieving Superior Customer Experience in Competitive Telco & ISP Markets

Monitoring and Management of Customer QoE for Data and VoIP Services

Telco and service provider offerings are highly competitive. Leading service providers understand that robust, high-quality service is the top success factor. Service and support automation, along with consistent end-to-end Quality of Experience monitoring, are essential for proactive service management, predictive network maintenance, and zero-touch re-provisioning.

AXTRACT is a QoE monitoring solution that assesses overall customer experience by analyzing data on factors such as wait times, response times, unsuccessful attempts, and error rates.

QoE monitoring helps telco brands and ISPs identify areas for improvement and enhance service quality. In today's market, delivering an excellent customer experience is crucial, and QoE monitoring is vital for achieving this goal.

Key Features

  • QoE Monitoring for any device 

  • For DOCSIS LTE & DSL networks

  • Quality and traffic data aggregation & analysis

  • No additional third-party software cost

  • Flexible OSS/BSS integration

DSL Quality of Experience

DSL Quality of Experience (QoE) measures user satisfaction with their DSL connection. It considers factors such as jitter, latency, packet loss, and the user's perceived speed and reliability. DSL QoE is crucial for both telco brands and ISP providers because it helps them identify and resolve service issues. Additionally, it allows them to understand how their service compares to other providers in the market. By monitoring DSL QoE, telco brands and ISP providers can ensure customer satisfaction and deliver a high-quality product.


What is QoE (Quality of Experience)?

Quality of Experience (QoE) measures user satisfaction with digital services like apps, video streaming, and websites. For telco brands and ISP providers, QoE is crucial because it offers insights into user perceptions of service quality. Factors such as latency, jitter, and packet loss can impact QoE. By monitoring QoE, telco brands and ISP providers can identify issues and improve service quality. Additionally, QoE data helps benchmark performance against competitors. Ultimately, QoE is a valuable tool for enhancing and understanding the user experience.

Comprehensive QoE Monitoring and Analysis Solution

Flexible Collection and Integration

  • No extra third-party software cost

  • Flexible GPV-based collection mechanism

  • Multi-protocol collectors for TR-069, SSH, HTTP, SNMP, etc.

  • Flexible OSS/BSS integration for metadata injection (push and pull)

Proactive Support and Scalability

  • Alerting framework for proactive support and alarming

  • High level of scalability (design patterns to really scale)

  • Runs on low-cost hardware with reduced hardware requirements

Advanced Data Processing and Analysis

  • Powerful post-processing tool (raw data and aggregation)

  • High performance (thousands of inform messages/sec/server)

  • Ability to export collected data in different formats

Comprehensive Diagnostics and Compliance

  • Fully compliant with diagnostic extensions like TR-143 and TR-157

  • Transforms devices into active probes for real-time diagnostics

  • Ability to give different priorities to collected data

  • Optimizes storage with RRD usage and short notation for parameters


Interested and want to receive more information?

AXTRACT Product Line

AXTRACT | Carrier Grade QoE Monitoring


Quality Of Experience - Collect, Monitor, Diagnose And Analyze Your Customer´s Experience!

AXTRACT is a high-performing, fully transparent monitoring solution designed to gather high volume diagnostic load without the need to pass it through a productive 3rd party ACS.

As IP services become increasingly complex and pervasive, it is imperative for operators to be able to effectively measure and understand the Quality of Service and Quality of Experience associated with IP service delivery.

AXTRACT can significantly support troubleshooting processes by supplying a historical view and analysis of service quality, including changes of service-related parameters - ranging from user-selected device groups or categories to a single device.

AXTRACT additionally delivers near-real time information about service quality when other devices in the service delivery chain (e.g. RGW and STB) register an error.

AXTRACT DSL | DSL Quality Monitoring

The DSL bundle provides a pre-configured environment for monitoring and diagnostics of DSL gateway devices (ADSL and VDSL).

Single CPE backend features

  • Daily aggregation on common mobile network KPIs:

    • Various DSL line related errors (notably CRC errors and Link Retrain errors)

    • Downstream and Upstream Speed

    • Downstream and Upstream Noise Margin

    • Downstream and upstream Attenuation

  • Cumulative historical traffic statistics on a daily and monthly basis

  • Time series charts for collected KPIs

  • Daily aggregation on common DSL KPIs

Group based features

  • Grouping by Access Type and Bandwidth

  • Time- and event scheduled grouping

  • Average value of all latest KPI values, relevant for the current network technology over all CPEs in each group

  • Pie chart for latest access Type and Bandwidth distribution in percentage

  • Time series chart for historic Access Type and Bandwidth in absolute units

  • Time series chart for average Downstream Noise Margin and Attenuation by group

AXTRACT DOCSIS | DOCSIS QoE Monitoring

E2E DOCSIS QoE Monitoring. Programm, Collect, Monitor, Diagnose And Analyze your customer´s DOCSIS experience!

DOCSIS CMTS/CCAP Monitoring vastly improved as part of DOCSIS bundle:

  • Based on Clickhouse & Grafana

  • Offers easy changes and customization

  • Notification on various alarms, e.g. excessive interface utilization or error rates

  • Also easily adjustable in GUI

AXTRACT PNM | Proactive Network Maintenance

PNM (Proactive Network Management) enables cable operators to monitor and report conditions in the network. PNM detects, identifies, and quantifies impacts to the network, such as cable faults and ingress noise. It effectively and proactively identifies plant and subscriber home impairments and sweeps all layers of subscriber’s connection infrastructure, in search of events or problems that may be generating service degradation

  • Identify impairments before impairments impact the customer

  • Locate upstream and downstream impairments

  • Measure upstream frequency response

  • Use your cable modem as a powerful test probe and troubleshooting device


Data collection of PreEQ coefficients from Cable Modems, correlated with infrastructure data

Used to calculate:

  • MTC: Main tap compression

  • NMTER: Non-main tap to total energy ratio

  • PreMTTER: Pre-main tap to total energy ratio

  • PostMTTER: Post-main tap to total energy ratio

  • TDR: Time domain reflectometer

  • Return path

  • Frequency Domain

Full Band Capture (Downstream Spectrum Analysis)

  • Obtained from Modem’s Full Band Capture (FBC) functionality.

  • Allows to recognize and alarm field problems.

Upstream Spectrum Analysis

  • Obtained from CMTS

  • Continuous check over noise floor level in each interface to detect when the maximum threshold is being exceeded

AXTRACT LTE | LTE QoE Monitoring

The AXTRACT LTE bundle provides a pre-configured environment for monitoring and diagnostics of gateway devices with a mobile uplink (2G, 3G, or 4G). There is specific support to detect if radio signal quality of such stationary devices suddenly falls.

Single CPE backend features

  • Daily aggregation on common mobile network KPIs

  • Average and worst values for current and previous day on:

    • RSSI

    • RSRP (4G)

    • RSRQ (4G)

    • SINR (4G)

    • RSCP (3G)

    • ECIO (3G)

  • Network change detection

  • Daily Single-CPE KPI baseline calculation with historical retention

  • Sample deterioration assessment based on configurable per-KPI standard deviation multipliers

  • Cumulative historical traffic statistics

  • Time series charts for collected KPIs

  • Network change history table and deterioration statistics histogram

Group based features

  • Grouping by network technology generation (2G, 3G, or 4G) and also by Cell ID

  • Time- and event scheduled grouping job

  • Average value of all latest KPI values relevant for the current network

  • Grouping by underlying network technology as pie and/or time series charts