RF Interference Mitigation Through Machine Learning Analytics

The Spectrum-NET Solution

Revolutionary Spectrum Analytics

Spectrum Effect’s revolutionary solution, Spectrum-NET™, provides highly innovative RF interference mitigation capabilities enabling mobile operators to rapidly resolve interference issues, improve network KPIs, improve subscriber QoE, surgically deploy field assets, save significant OPEX and maximize use of valuable spectrum. Protected by numerous patents, Spectrum-NET rapidly identifies, characterizes, classifies, aggregates, localizes and assesses the impact of sources of external and unintended internal RF interference. 

Interference Examples

Spectrum-NET analyzes existing RAN data to automatically identify and characterize RF interference events without any need for external probes. Spectrum-NET operates seamlessly across multi-vendor UMTS, LTE and (future) 5G NR networks on a continual basis. Spectrum-NET applies machine learning to continually learn about interference events and refine results and automates and virtualizes the traditionally manually-intensive RF interference analysis, test and measurement functions.

Revolutionary Spectrum Analytics

Spectrum-NET is a web-based, cloud-ready, highly scalable solution with extensive mapping, visualization, and report generation capabilities. Built on a container-based microservices architecture, Spectrum-NET scales to millions of cells per instance.

» Discover how Elisa identified previously undetectable RF interference with Spectrum-NET

Interference Detection & Characterization

Spectrum-NET incorporates both traditional and deep machine learning (ML) capabilities to detect and classify interference within operator networks. Spectrum-NET performs outlier detection with unsupervised ML techniques to identify anomalous behavior that can indicate the presence of interference. The outliers are fed into the feature extraction modules (FEMs) for interference characterization and Spectrum-NET determines the temporal, spatial, spectral and source characteristics of each RF interference event. For LTE cells, Spectrum-NET analyzes interference measurements on a per PRB basis to provide a spectral-signature of the interference source in the Spectral-domain. This spectral-signature aids in determining the type of interference source as well as for identifying cells impacted by an interference source. 

Interference Detection & Characterization

Interference Aggregation & Classification

Spectrum-NET performs interference aggregation to identify all of the cells within a network that are impacted by a common interference event. Spectrum-NET is pre-populated with rules set to classify interference types using features extracted from data. Supervised machine learning techniques use labeled interference examples to adapt feature classification rules and to create new rules. Deep learning neural networks are used for further interference classification. Neural networks are trained offline with simulated data and/or data signatures observed when interference occurs in the network. 


Interference Aggregation & Classification

Interference Localization

Spectrum-NET incorporates novel techniques to determine the RF interference levels seen at each cell impacted by an off-site interferer. Using a patent-pending Bayesian inference-based technique, Spectrum-NET then generates localization heat maps from these interference levels. The heat maps show the likelihood of interference source being located at a given pixel on the map with 5m resolution per pixel at maximum zoom. The interference location accuracy depends on cell density and number of cells impacted. 

Interference Localization

Interference Impact Assessment & Interference Severity

Spectrum-NET measures the impact of each interference event on network KPIs (e.g., session drop rate, access failure rate, handover failure rate, downlink/uplink latency and uplink spectral efficiency). Spectrum-NET calculates an interference severity for each interference event based on the characteristics of the event. The interference severity and impact assessment are key objective measures for prioritizing operator resources to mitigate the events. 

Interference Impact Assessment & Interference Severity

PIM Analysis

Interference from passive intermodulation (PIM) is a significant challenge for mobile operators. PIM is the generation of RF signals by nonlinearities in the mechanical components of a wireless system. Two or more RF signals mix together to produce sum and difference signals. When these signals overlap with the frequencies used by the cellular network, they cause interference. Spectrum-NET applies a patent-pending algorithm to automatically identify PIM interference within a network including the frequency channel(s) that are generating the PIM. Spectrum-NET’s PIM algorithms determine the distinct signatures for PIM and Non-PIM interference using internally generated metrics. 

PIM Analysis

PIM Analysis


Future Proof Roadmap

The Spectrum-NET roadmap supports the mobile network evolution to network densification, 5G NR and shared spectrum environments. With the TDD band allocations, targets for higher spectral efficiencies and new challenges with mid- and high-bands, Spectrum-NET will play a critical role within 5G NR networks. The Spectrum-NET roadmap builds on its high-value RF mitigation capabilities with new features such as interference prediction, playback views, downlink interference analysis, cross operator interference analysis, closed-loop SON integration, and integration with drone-based system.

 

Take the first step to effectively address external and unintended RF interference within your network: request a Spectrum-NET trial.

 

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About Spectrum Effect
Spectrum Effect’s revolutionary solution, Spectrum-NET, helps operators make the most of their valuable spectrum assets by rapidly identifying, locating and mitigating sources of RF interference and optimizing networks for future sharing opportunities.

Spectrum Effect has developed the key technology building blocks needed to rapidly maximize and monetize limited spectrum resources on today’s networks.
Spectrum Effect Product Solutions, Identify & Mitigate External Interference
As data demand steadily escalates, Spectrum-NET provides operators with the deep network visibility needed to protect their sizable investment in licensed spectrum and ensure ongoing service quality.
Spectrum Effect’s breakthrough, Spectrum-NET, addresses this dilemma by enabling mobile operators of shared spectrum networks to rapidly identify, characterize, and locate sources of external interference during normal network operation with no downtime.
Spectrum Effect’s Spectrum-NET solution has the advanced technology needed to provide a clear picture of complex, overcrowded 5G networks.
Spectrum Analytics at Mobile World Congress
As spectrum sharing solutions such as LTE-U, CBRS, and LSA are deployed, the external interference will dramatically increase by design making Spectrum-NET’s external interference management capabilities an even more critical asset for operators.