December 12, 2022 – KIRKLAND, WA — Spectrum Effect® announced today a major breakthrough with Spectrum-NET’s convolutional neural network (CNN) models. The Spectrum-NET RF interference classification CNN Models now fully support RAN equipment operating in energy savings mode by seamlessly responding to network adjustments during sleep mode.
Spectrum-NET is the industry’s leading solution for the automated ML-driven analysis of RF interference, enabling mobile operators to rapidly and effectively mitigate sources of RF interference.
“Operating networks in a responsible, energy efficient manner is of paramount importance to us and our customers,” commented Spectrum Effect Director of Product Management, Jina Choi. “We take great pride that our Spectrum-NET solution has built-in intelligence to handle the nuances of RAN energy savings.”
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 San Pedro Garza Garcia, 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 30 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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