Vectoring Controller Tone Correlation Iterative Update
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Next-generation wired communication systems face challenges in efficiently mitigating crosstalk interference, especially in non-diagonally dominant channels, which leads to increased transmit power and background noise, degrading data rates and signal quality.
Innovation Solution
A vectoring controller is designed to quickly compute advanced precoders and postcoders using an iterative update algorithm, leveraging tone correlation to reduce the number of iterations required for each tone, and an integrated hardware and software module is proposed to efficiently derive and update vectoring matrix coefficients, exploiting channel coherence to minimize computational complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If iterative update algorithm is applied to determine vectoring matrix coefficients for non-diagonally dominant channels, then crosstalk mitigation performance is improved, but computational complexity and processing time increase significantly
Solution Approach 1:
The patent applies preliminary action by using vectoring coefficients determined at a first tone as initial values for determining coefficients at a second neighboring tone. This pre-initialization approach avoids starting from scratch at each tone, significantly reducing the number of iterations needed while maintaining convergence to accurate solutions for non-diagonally dominant channels.
Solution Approach 2:
The patent implements continuity of useful action by exploiting tone correlation to carry forward coefficient information from one tone to the next. The iterative update algorithm continues seamlessly across adjacent tones, using previously computed values as starting points, thereby maintaining solution accuracy while reducing redundant computations.
2Measurement precision
If iterative update algorithm computes vectoring matrix coefficients for each tone independently, then solution accuracy is maintained, but processing time increases by approximately 10-fold
Solution Approach 1:
The patent uses coefficients from a first tone as preliminary values for a second tone, eliminating the need for independent initialization at each tone. This approach maintains solution accuracy by leveraging tone correlation while reducing processing time through the reuse of previously computed values.
Solution Approach 2:
The patent employs copying by replicating the use of vectoring coefficients across neighboring tones. Instead of independently computing coefficients at each tone, the solution copies initial values from one tone and refines them through iterative updates, significantly accelerating processing while preserving accuracy.
3Productivity
If advanced precoders and postcoders are used to mitigate crosstalk in non-diagonally dominant channels, then data rate performance is improved, but transmit power and background noise increase
Solution Approach 1:
The patent changes parameters by adapting vectoring matrix coefficients specifically for non-diagonally dominant channels through iterative updates. By optimizing coefficients for each channel condition rather than using fixed or simplified approaches, the system achieves better data rate performance while controlling transmit power requirements through precise crosstalk cancellation.
Data Source
AI summary
A vectoring controller is configured to determine first coefficient values for a vectoring matrix at a first tone based on a first number of iterations through an iterative update algorithm and a first channel matrix estimate at the first tone, and to determine second coefficient values for the vectoring matrix at a second neighboring tone based on a second number of iterations through the iterative update algorithm and a second channel matrix estimate at the second tone. The vectoring controller is configured to start with the first coefficient values as initial values for the respective second coefficient values in the iterative update algorithm. The second number of iterations is lower than or equal to the first number of iterations.