February 20, 2023 – KIRKLAND, WA — Spectrum Effect® today announced the new Rainier Edition of Spectrum-NET® featuring Auto-Mitigation, a patent-pending capability that allows operators to more than double the interference they can resolve in a fraction of the time through automatic optimization of networks, leading to significant improvement in UE quality of experience.
The Rainier Edition features exciting capabilities, such as next-generation Convolutional Neural Network (CNN) models and a powerful, upgraded interface that can pinpoint which interference issues have the greatest impact on UEs and the network’s overall performance. These features build on Spectrum-NET’s ability to extract AI-driven insights from existing RAN OSS data and resolve the most challenging RF interference issues that exist today.
“Spectrum-NET is a game changer for our customers when addressing troublesome RF interference issues,” said Jina Choi, Director of Product Management for Spectrum Effect. “The Rainier Edition empowers operators to take another leap forward in delivering unparalleled QoS for subscribers while spending less time, capacity, and resources to do so.”
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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