November 15, 2021 – KIRKLAND, WA — Spectrum Effect® announced today that spectral analysis of RF interference is now available in Spectrum-NET for 5G NR networks.
For NR and LTE, Spectrum-NET determines the spectral characteristics of RF interference using per-PRB interference PM data contained in reports from RAN infrastructure. Spectrum-NET’s automated machine learning-driven analysis provides the industry’s most accurate RF interference classification, locating and root cause analysis.
“Operators are facing significant RF interference challenges with their newly allocated 5G NR RF bands from external sources requiring spectrum clearing, increased potential for PIM, TDD self-interference and cross border band misalignment,” commented Spectrum Effect CEO, Charles Immendorf. “Spectrum-NET’s most advanced capabilities can now be applied to NR, enabling operators to solve RF interference in the shortest possible timeframe and achieve optimal performance with their NR networks.”
About Spectrum Effect
Spectrum Effect’s mission is to solve the most challenging and costly problems in the wireless industry through innovation and automation. With R&D located in Kirkland, Washington, USA, and Monterrey, Mexico, the Spectrum Effect team is passionate about creating disruptive technologies, engineering excellence, and enhancing the experience of mobile operators. Spectrum Effect has created Spectrum-NET, the industry’s leading solution for the automated analysis of RF interference. Protected by 25 issued patents, Spectrum-NET performs machine learning-driven analysis of RF interference across all RF bands and operates seamlessly across multi-vendor 5G NR, LTE and UMTS cells within mobile networks continually. With Spectrum-NET, operators across the globe are rapidly addressing RF interference, improving network KPIs, surgically deploying their field assets, gaining insights into spectral efficiency, and saving significant OPEX and CAPEX. www.spectrumeffect.com.
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