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.

Contact:

Cara Mormino
+1 847 243 3000
cara@spectrumeffect.com

Spectrum-NET is the Industry’s First to Drive the Resolution of Uplink RGI via Network Optimizations

June 29, 2022 – KIRKLAND, WA — Spectrum Effect® announced today the introduction of its new Spectrum-NET RGI Module, the industry’s first solution capable of distinguishing RAN Generated Interference from other sources of uplink interference through the analysis of performance data.

RAN Generated Interference (RGI) is caused by overshooting cells, insufficient separation between antennas, imbalanced traffic load among layers, or misconfigured parameters. Operators had been blind to uplink RGI, which accounts for more than 25% of the uplink RF interference affecting mobile networks globally. RGI is on the rise with increasing traffic load.

Spectrum-NET is the industry’s leading solution for the automated AI-driven analysis of RF interference, enabling operators to rapidly and effectively mitigate sources of RF interference.

“With our new Spectrum-NET RGI Module, operators are now equipped to immediately differentiate RGI from other types of uplink RF interference with high accuracy,“ commented Spectrum Effect CTO, Eamonn Gormley. “Our root cause analysis then pinpoints the sources of RGI, guiding operators with the targeted actions to quickly resolve RGI and improve network performance.”

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 28 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.

Contact:

Cara Mormino
+1 847 243 3000
cara@spectrumeffect.com

Over 5 Million Hours of RF Interference Data Enables Instant, Actionable Insights

May 23, 2022 – KIRKLAND, WA — Spectrum Effect® announced today that Spectrum-NET® has collected and labeled more than 200,000 samples of observed RF interference data from mobile operator networks around the world.

Spectrum-NET is the industry’s leading solution for the automated AI-driven analysis of RF interference, enabling operators to rapidly and effectively mitigate sources of RF interference.

The Spectrum Effect team works collaboratively with mobile operators to ensure their RF interference reduction and KPI improvement objectives are realized. With this close cooperation, Spectrum Effect has established a valuable pipeline of RF interference data from operator networks.

“The single largest obstacle for generating meaningful insights from network performance data with machine learning models is collecting a dataset large enough to deliver highly accurate classifications,“ commented Spectrum Effect CTO, Eamonn Gormley. “We have been successful in capturing vast quantities of labeled RF interference signatures that are used to train Spectrum-NET’s convolutional neural network (CNN) models.”

“Operators are hitting the ground running and immediately benefiting from Spectrum-NET’s automated CNN-driven classification,” remarked Spectrum Effect Director of Product Management, Jina Choi. “Our CNN models are continuously updated and refined with additional labeled data samples, which keeps operators better informed about their networks and helps them make faster, data-driven decisions.”

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 27 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.

Contact:

Cara Mormino
+1 847 243 3000
cara@spectrumeffect.com

February 14, 2022 – KIRKLAND, WA — Smart Axiata and Spectrum Effect® announced today that Spectrum-NET is fully integrated with the Smart Axiata automation platform.

With this integration, Spectrum-NET automatically generates trouble tickets for sites with PIM interference and faulty hardware and sources of external RF interference. Vital root cause information provided by Spectrum-NET enables issues to be resolved with surgical precision. Spectrum-NET is updated as field activities take place.

“Automation and network performance are top priorities for Smart Axiata,” commented Andrey Kuzin, CTO of Smart Axiata & CTO Strategy Lead in Axiata Group. “Spectrum-NET automates the analysis of RF interference within our network and is now fully integrated end-to-end with our processes and operations systems.”

“Smart Axiata has been an excellent partner for Spectrum Effect to cooperate with on this automation,” commented Spectrum Effect CEO, Charles Immendorf. “The work we have done with Smart is serving as a blueprint for the integration of Spectrum-NET with automation platforms with other operators.”

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 27 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.

Contact:

Cara Mormino
+1 847 243 3000
cara@spectrumeffect.com

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 27 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.

Contact:

Cara Mormino
+1 847 243 3000
cara@spectrumeffect.com

July 28, 2021 – KIRKLAND, WA — Spectrum Effect® announced today that Spectrum-NET has incorporated 3D environment data into its patented algorithms for locating of external RF interference sources. Spectrum-NET interference locating leads the industry with the highest accuracy.

Spectrum-NET calculates interference magnitudes at each cell and applies Bayesian inference to calculate the location of each source of external RF interference. The locating algorithm now applies both horizontal and vertical antenna radiation pattern information, mechanical and electrical tilt, antenna height, and Shuttle Radar Topography Mission (SRTM) data.

“Mobile operators need to respond to an ever increasing amount of external interference from sources such as cell phone boosters and leakage from Cable TV cables. Operators also have an urgent need to clear newly allocated NR RF bands.”, commented Spectrum Effect CEO, Charles Immendorf. “Spectrum-NET is a game changer for operators to surgically deploy their staff and address external sources far more expeditiously. The resulting network performance improvements are felt by their subscribers and measured in industry benchmarks.”

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 27 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.

Contact:

Cara Mormino
+1 847 243 3000
cara@spectrumeffect.com

June 8, 2021 – KIRKLAND, WA — Spectrum Effect® today announced the Deep Convolutional Neural Network (CNN) models contained in the latest release of Spectrum-NET are achieving the highest accuracy ever measured for classifying and aggregating RF interference.

Spectrum-NET performs automated, machine learning-driven analysis of RF interference, which enables operators to rapidly and effectively mitigate RF interference. Spectrum-NET contains an RF interference classification library of Deep CNN models that have been trained with labeled measurement examples from mobile operator networks across the globe. The Spectrum-NET CNN models classify various interference sources such as PIM, CATV egress, WiMAX, DECT, BDA’s and TDD self-interference.

The measured accuracy of the latest versions of the Spectrum-NET CNN models is greater than 92% (top 1) and 98% (top 2).

“The cost of RF interference to mobile operators is substantial today and these costs are increasing significantly as operators deploy 5G NR”, commented Spectrum Effect CEO, Charles Immendorf. “Our latest CNN models are another major step in the advancement of Spectrum-NET and will enable operators to save more OPEX while driving further network performance improvements.”

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 27 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.

Contact:

Cara Mormino
+1 847 243 3000
cara@spectrumeffect.com