DSL Vectoring Prequalification Using FEXT Noise Prediction

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Solution Overview

Problem

Existing DSL technologies face challenges in predicting bit rate improvements from vectoring due to the presence of non-vectored lines and multiple vectoring groups, which limits the full potential of FEXT noise cancellation.

Innovation Solution

A prequalification method using a measurement instrument to assess NEXT and FEXT noise, combined with a polynomial fuzzy neural network and genetic algorithms, to estimate the impact of vectoring on bit rates, accounting for the coexistence of non-vectored lines and multiple vectoring groups.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If vectoring is implemented to cancel FEXT noise, then DSL performance and bit rate are improved, but the presence of non-vectored lines limits the full improvement potential

Engineering Contradiction:

ImproveDSL performanceVSAvoidcoexistence with non-vectored lines

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The system performs prequalification measurements and predictions before implementing vectoring, allowing operators to assess potential performance improvements and make informed decisions about whether to implement vectoring in mixed environments

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses reference models that replicate real-world scenarios with known numbers of vectored and non-vectored lines to predict performance outcomes without actually implementing vectoring yet

Inventive Principle:

Principle #26Copying

2Reliability

If vectoring is implemented with multiple vectoring groups, then FEXT cancellation is improved, but prediction accuracy becomes difficult due to complex interactions

Engineering Contradiction:

ImproveFEXT cancellationVSAvoidprediction accuracy

Core Design Contradiction:

ReliabilityVSMeasurement precision

Solution Approach 1:

The system divides the binder into multiple vectoring groups and uses reference models for each group configuration, allowing accurate prediction of performance by considering each group's contribution separately while accounting for interactions

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system varies parameters such as the number of vectored lines, number of vectoring groups, and binding group configuration in reference models to predict performance under different scenarios and identify optimal configurations

Inventive Principle:

Principle #35Parameter changes

3Object-affected harmful factors

If heavy signal processing is implemented for vectoring, then FEXT noise is reduced, but device complexity increases

Engineering Contradiction:

ImproveFEXT noiseVSAvoidsignal processing complexity

Core Design Contradiction:

Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The system performs prequalification assessments before implementing vectoring, allowing operators to evaluate whether the complexity of implementing heavy signal processing is justified by the expected performance improvements in specific scenarios

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentEP2787653B1Prequalification of vectoring before implementation

Publication Date: 2017.11.15 FLUKE CORP

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AI summary

A prequalification determination is made on a DSL line to predict the bit rate improvement that might be accomplished by implementation of vectoring, providing information to use in determining whether or not to implement vectoring. Overall noise is measured on the line, along with FEXT noise, and the FEXT noise is subtracted from the overall noise, and the resulting value is employed to determine a predicted bit rate, providing an indication of the potential bit rate if vectoring is implemented.