DSL Resource Management via Interference Subset Selection
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Solution Overview
Problem
Current DSL system resource management techniques, such as Dynamic Spectrum Management (DSM), face high computational complexity due to their reliance on all lines and frequencies, leading to inefficient and costly operations in reducing cross-talk interference like FEXT and NEXT.
Innovation Solution
The method identifies and focuses on only the relevant interfering lines and frequencies for each line, applying resource management algorithms based on these determined sets to reduce unnecessary computations and improve efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If Dynamic Spectrum Management (DSM) algorithms are applied to all lines and frequencies to reduce cross-talk interference, then cross-talk interference (FEXT and NEXT) is reduced, but computational complexity increases significantly
Solution Approach 1:
The patent segments the cable binder lines into different groups based on their interference characteristics. Instead of treating all lines uniformly, the system identifies and processes only the most relevant interfering lines for each target line, dividing the problem into smaller manageable subsets that reduce overall computational complexity while maintaining effective cross-talk cancellation.
Solution Approach 2:
The patent applies local quality by recognizing that different lines experience different levels and types of interference. The system adapts the resource management approach for each line based on its specific interference profile, applying complex processing only where necessary rather than uniformly across all lines, thereby optimizing the balance between interference reduction and computational effort.
2Reliability
If resource management algorithms process all frequencies for each line to minimize interference, then transmission performance is improved, but processing time and computational resources increase
Solution Approach 1:
The patent implements partial action by processing only the most significant interfering frequencies for each line rather than all frequencies. The system identifies a subset of frequencies that contribute most to cross-talk interference and focuses computational resources on those, achieving satisfactory performance improvement without the full computational burden of processing every frequency across all lines.
Solution Approach 2:
The patent applies preliminary action by pre-identifying and categorizing interfering lines and frequencies before the main resource management processing. This preliminary classification allows the system to prepare interference profiles and relevance metrics in advance, so that during actual resource allocation, the algorithms can work with pre-organized data structures, significantly reducing real-time processing requirements.
3Object-affected harmful factors
If all lines in a cable binder are considered for resource management, then complete interference cancellation is achieved, but system complexity and implementation cost increase
Solution Approach 1:
The patent extracts and focuses on only the most relevant interfering lines for each target line, separating the critical interference sources from the less significant ones. By taking out and processing only the dominant interferers, the system achieves effective cross-talk cancellation without requiring complex processing of all lines, thereby reducing implementation complexity and cost while maintaining performance.
Data Source
AI summary
The present invention relates to a method for managing transmission resources in a digital communication system comprising an access network, such as a DSL system, implementing resource management for minimization of cross-talk interference in a cable or cable binder of the access network comprising a number, N of lines. It comprises the steps of: determining, by means of calculating means, for a respective of said lines, a relevant line set, comprising interference relevant lines, for said respective line, and applying, for the respective line, an algorithm for resource management using the determined relevant line set, thus reducing computational complexity of the resource management algorithm.