Spectrum Effect Spectrum-NET rApp
The Spectrum-NET rApp provides visibility into interference events impacting end user QoE and closed-loop automation for RAN optimization. With Spectrum-NET, operators can achieve greater performance and cost efficiency across RAN Optimization and Network Planning teams. Spectrum-NET is RAN vendor-agnostic and bridges the gap between brownfield and greenfield deployments.
Using AI to improve QOE and network throughput
The Spectrum-NET rApp offers multiple benefits, including:
- Single pane of glass view into nationwide RAN performance.
- Fully automated, AI-driven handling of traditionally complex workflows around detecting and resolving RF interference.
- Delivery of critical insights on how and where to spend valuable time and effort on improving network performance.
- Cutting edge Convolutional Neural Network (CNN) models that generate results powered by a vast library of 800+ years of labeled network interference data from 50+ operator networks.
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Spectrum Effect’s Spectrum-NET is the mobile industry’s leading AI-powered RAN Optimization platform for automated detection and mitigation of RF interference. Using advanced machine learning, Spectrum-NET enables operators to detect, classify, and resolve interference, optimizing network performance while reducing OPEX and recuperating material CAPEX investments in spectrum and RAN capacity. Spectrum-NET leverages closed-loop AI automation to enhance spectral efficiency, maximize throughput, and improve user quality of experience. Operators using Spectrum-NET benefit from significant improvements in network capacity and performance, resulting in improved top-line results and reduced bottom-line operational costs, ensuring maximum return on 5G investments. |
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