The Spectrum-NET UI provides a dashboard view of the RF environment within the mobile network. Spectrum-NET users have access to powerful insights into the RAN and can view a comparative analysis across:

With Spectrum-NET, users intuitively navigate events affecting their network:

• Filter by RF interference source type, RF band, RF layers, RAN technology, RAN vendor, RF interference severity, activity percentage, and market.
• Sort by RF interference severity, number of affected cells, and KPI impact.
• Search events by site name and cell name.
• View detailed information of each event including frequency/temporal characteristics, source location, source classification, impacted cell/sites, performance charts, additional information specific to the interference type and the KPI impact of the interference event.

Users can export customizable reports on-demand directly from the Navigator View for the current selection of interference events in PowerPoint (.pptx) or Excel (.xlsx) format. Reports can be generated for each interference event, including interference severity, KPI impact, cells impacted and interference characteristics.

The scheduling options allow the user to optionally create a scheduled report for the selected events. Reports can be scheduled daily, for specific days of the week, etc. Once generated, the reports can be automatically emailed or downloaded from the Reports tab.

The Spectrum Analyzer Configuration File in .json format can be exported for each external RF interference event. The files contain information that can be used by a spectrum analyzer to configure its center frequency, bandwidth and markers, and show the location probability heatmap on the spectrum analyzer screen.

The Spectrum-NET roadmap includes highly innovative capabilities including:

• Regulator portal for next generation collaboration between regulators and operators on interference sources.
• Integration with SON tools for closed-loop actions.
• Cross-border ML-driven linear regression model.
• Centralized optimization of the new 3GPP Release NR RIM feature.
• Updates to Spectrum-NET’s Deep Convolutional Neural Network (CNN) models with training of additional RF interference signatures (labeled measurement data) from mobile networks across the globe.
• New applications to further improve spectral efficiency.
• Spectrum-NET rApps on leading O-RAN RIC platforms.