DSL Line Stability Analysis via Statistical Distribution Comparison
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Solution Overview
Problem
Conventional Digital Line Management (DLM) approaches in DSL access networks often reduce the maximum bit rate of telecommunication lines for an extended period due to transitory disturbances like weather changes, even though these disturbances are short-term, leading to a long-lasting decrease in network performance.
Innovation Solution
A method that determines both long-term and short-term statistical distributions of stability parameters, such as MTBE or MTBR, using statistical tests like Wilcoxon Rank Sum or Student's t-test to detect transitory disturbances, thereby preventing unnecessary stabilization measures and maintaining optimized performance during such events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If DLM stabilization measures are applied to lines affected by transitory disturbances, then line stability is improved, but maximum bit rate is reduced for a much longer time than the disturbance duration
Solution Approach 1:
The system performs preliminary classification of disturbances as transitory or permanent before applying stabilization measures. By using statistical analysis (comparing short-term vs long-term distributions) to detect transitory disturbances, the system takes preliminary action to avoid unnecessary stabilization, thereby preserving maximum bit rate while maintaining stability when needed.
2Productivity
If DLM optimization measures are performed to improve line performance, then maximum bit rate is increased, but the process requires the line to be operated stably for one week
Solution Approach 1:
The system performs preliminary classification of disturbances before optimization. By detecting transitory disturbances through statistical analysis and classifying them separately, the system can postpone optimization measures until after the disturbance passes, avoiding wasted optimization time while still achieving maximum bit rate improvement.
3Reliability
If DLM rapidly stabilizes lines after transitory disturbances, then line stability is restored quickly, but the maximum bit rate remains reduced for extended periods
Solution Approach 1:
The system performs preliminary detection and classification of transitory disturbances using statistical analysis of stability parameters. By identifying these disturbances before stabilization measures are applied, the system takes preliminary action to prevent unnecessary long-term bit rate reduction, thereby minimizing time loss while maintaining stability.
Solution Approach 2:
The system continuously monitors stability parameters (MTBE, MTBR) and uses feedback from statistical distribution comparisons to detect transitory disturbances. This feedback mechanism enables the system to adjust stabilization measures dynamically, preventing prolonged bit rate reduction while maintaining stability during actual disturbances.
Data Source
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AI summary
The present invention refers to a method (49) and device (25, 31, 43) for analysing and/or diagnosing physical media (13, 36) in an access network (11). In order to improve dynamic line management such that a long-lasting bit rate decrease because of transitory disturbance (47) in the access network (11) can be avoided, it is suggested that the method (49) comprise determining (55) a long-term statistical distribution (L) of a parameter that characterises the performance of at least one telecommunication line (13, 36) of the network (11); determining (57) a short-term statistical distribution (S) of the parameter; comparing (59, 61) the long-term statistical distribution (L) with the short-term statistical distribution (S); and detecting (63) a transitory disturbance (47) in the at least one telecommunication line (13, 36) depending on said comparing (59).