Full Band Capture Spectrum Analysis for Cable Impairment Detection
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Solution Overview
Problem
Current methods for identifying and addressing network issues in cable networks rely on customer reports and out-of-specification telemetry data, which are inefficient and do not proactively detect new types of impairments.
Innovation Solution
The use of Full Band Capture (FBC) spectrum analysis to collect and analyze spectral data from cable modems, construct ideal spectral readings, and identify persistent deviations to detect and localize impairments, including new types not previously identifiable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If customer reports and out-of-specification telemetry data are used to identify network issues, then the maintenance process is simple to operate, but the detection precision and ability to identify new impairment types deteriorates
Solution Approach 1:
The system performs preliminary spectrum analysis by collecting full band capture spectral readings from cable modems and constructing ideal spectral readings before actual impairment detection occurs. This preliminary construction of reference spectra enables more precise detection of deviations without increasing operational complexity during maintenance events
Solution Approach 2:
The patent introduces an intermediary correlation engine that processes spectral readings and compares them against ideal spectra to identify impairments. This intermediary system acts as a mediator between raw spectral data and maintenance decisions, improving detection precision while managing system complexity through automated correlation algorithms
2Loss of information
If full band capture spectrum analysis is implemented to detect impairments, then the detection precision and ability to identify new impairment types improves, but the device complexity and data processing requirements worsen
Solution Approach 1:
The system extracts only the relevant spectral deviation information by subtracting ideal spectral readings from actual full band capture readings. This extraction process isolates impairment-related signals from the complete spectrum, maintaining information completeness while reducing processing complexity by focusing only on meaningful deviations
Solution Approach 2:
The patent transforms the complete spectral data into a simplified representation by calculating deviations from ideal spectra and identifying persistent non-zero values. This parameter transformation converts complex full-band spectral analysis into a more manageable form that retains critical impairment information while reducing processing requirements
3Productivity
If traditional telemetry data methods are used, then the system complexity is low, but the productivity and efficiency of network maintenance deteriorates
Solution Approach 1:
The system enables self-service by automatically collecting spectral readings from cable modems, constructing ideal spectra, and identifying impairments without requiring manual customer reports or complex maintenance interventions. This automation improves maintenance efficiency by allowing the network to self-diagnose issues while managing complexity through standardized automated processes
4Reliability
If spectrum analysis is performed on all customer units, then the coverage and detection capability improves, but the loss of time and processing overhead worsens
Solution Approach 1:
The patent applies partial action by focusing spectrum analysis only on identifying persistent non-zero deviations from ideal spectra rather than analyzing every spectral component. This selective approach maintains high detection reliability by concentrating on meaningful impairment indicators while reducing analysis time by ignoring irrelevant spectral variations
Data Source
AI summary
Collect a full band capture spectral reading from a plurality of cable/fiber broadband network customer units (e.g., cable modems or equivalent optical units); for each of the cable/fiber broadband network customer units, construct an ideal spectral reading. For each of the cable/fiber broadband network customer units, subtract the ideal spectral reading from the full band capture spectral reading to obtain a resultant spectrum. For at least one of the cable/fiber broadband network customer units, identify a persistent deviation from zero in the resultant spectrum that does not match a known impairment type. Identify at least one new impairment type corresponding to the persistent deviation from zero. Remediation of the new impairment type can be carried out as appropriate, and/or a detection pattern can be deployed to identify future occurrences of the new impairment type.