Telecom Network Optimization by Lumetras

    Review network data for emerging patterns.

    Lumetras can combine drive test data, network probes, and tower condition sensors with Lumen ML models to help identify patterns linked to congestion. Teams can review the results and decide whether to investigate, adjust capacity, or plan field work.

    Network data
    Review connected telemetry
    ML-Driven
    Patterns for review
    Field-to-Tower
    Field and site information

    How the platform works

    Review network telemetry and plan field work

    Lumetras combines drive-test records, probe readings, and tower sensor data. Lumen ML models flag congestion patterns for telecom teams to investigate. Results depend on source coverage and model configuration.

    Drive Test Intelligence

    Drive tests measure coverage and signal quality across roads, corridors, urban areas, and customer zones.

    Live Network Probes

    Network probes can collect live data for teams to review jitter, congestion, packet loss, and changes in network performance.

    Tower Condition Sensors

    Tower and site sensors can provide data about equipment condition and environmental conditions that may affect network service.

    Inspection drone using LiDAR to map a cellular tower structure and surrounding vegetation

    Structural scan

    Tower integrity model

    Site clearance

    Vegetation mapping

    Drone LiDAR tower audit

    Review tower structure and nearby vegetation using drone LiDAR.

    Drone LiDAR surveys can create a spatial record of a cell site for engineering review. The survey may help teams examine visible tower features and nearby vegetation. A qualified person must review the results.

    Tower structure review

    LiDAR point clouds can show tower geometry and visible changes for engineering review and maintenance planning.

    Vegetation mapping

    Canopy mapping can show vegetation near the tower site, access routes, antennas, and clearance zones for review.

    Discuss a tower audit

    Lumen ML models can flag network patterns for review.

    Models analyze connected traffic, signal quality, demand, tower condition, and historical performance data. Teams use flagged network areas to decide where to investigate.

    Telecom teams can use the analysis to investigate bottlenecks, review resource allocation, and plan capacity changes. Model output does not guarantee that service issues will be prevented.

    Network team workflows

    Ways teams can use the data

    01Review data that may indicate emerging congestion
    02Locate changes in network performance
    03Use location data to plan field work
    04Investigate possible outage and service degradation risks
    05Use available telemetry in capacity planning
    06Review service patterns alongside customer reports

    Network planning

    Use network data to plan investigations

    Lumetras can bring field measurements, infrastructure sensor data, and machine learning analysis into a review workflow. Telecom teams assess the output alongside operational knowledge before making changes to network capacity or maintenance plans.