DSL Optimizer Vectoring Grouping for Crosstalk
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Solution Overview
Problem
Vectored DSL systems face high computational complexity and operational expenses due to the need for joint transmitter and receiver signal processing across multiple pairs, which complicates crosstalk interference mitigation and performance optimization.
Innovation Solution
A DSL optimizer system with a vectoring engine coupled to customer premises equipment (CPE) devices via DSL loops, allowing for external computation burden management and improved data reporting and parameter control, reducing complexity and enhancing performance through interfaces that enable better trade-offs between complexity and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If joint transmitter and receiver signal processing is performed across multiple pairs to mitigate crosstalk interference, then performance is improved, but device complexity increases significantly
Solution Approach 1:
The system segments the DSL lines into different vectoring groups based on crosstalk coupling strength. Strongly coupled lines are grouped together for joint processing, while weakly coupled lines are processed independently or with reduced processing, thereby reducing overall computational complexity while maintaining performance where it matters most
Solution Approach 2:
The patent applies different levels of vectoring processing to different groups of lines based on their local characteristics. Lines with high crosstalk coupling receive full joint processing, while lines with low coupling receive minimal or no vectoring, optimizing the trade-off between performance improvement and computational burden for each local group
2Reliability
If vectoring technologies are deployed to improve performance, then operational expenses increase due to higher complexity
Solution Approach 1:
The system applies vectoring processing selectively rather than uniformly across all lines. By performing joint signal processing only on subsets of lines that benefit most from it (those with strong crosstalk coupling), the system achieves partial action that reduces operational expenses while maintaining performance where critical
3Productivity
If data collection and reporting is enhanced for better system management, then productivity improves, but device complexity increases
Solution Approach 1:
The system implements selective data collection where detailed performance metrics are gathered only from lines and groups that require monitoring or optimization. Routine lines use simplified reporting, reducing overall data collection complexity while maintaining enhanced management capability for critical system areas
Data Source
AI summary
A DSL optimizer (610) coupled in communication with a Digital Subscriber Line (DSL) system, wherein the DSL optimizer comprises: collecting means (620) to collect operational data from the DSL system; analyzing means (640) to perform analysis regarding further operation of the DSL system based on the collected operational data; wherein the DSL optimizer is configured to identify cross-talk between lines (130) in the DSL system based on the analysis; and a signal generator (650) configured to generate and send instruction signals to modems and/or other components of the DSL system, wherein the signal generator is configured to send instructions to place the lines into groups based on the cross-talk identified between the lines.