DSL Channel Ordering for Crosstalk Mitigation
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Solution Overview
Problem
Current DSL technologies face limitations in achieving high data rates over long distances due to far-end crosstalk noise, which degrades performance and limits the reach of high-speed broadband services to less than 500 meters.
Innovation Solution
A method is implemented in a network element to determine optimal channel orders for subscriber lines across multiple subcarriers, using QR decomposition to generate parameters for crosstalk mitigation filters, which are then applied in a coordinated multi-channel multi-carrier communication system to equalize data rates and mitigate far-end crosstalk interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If greater bandwidths and advanced signal processing techniques are employed to achieve high data rates, then data rates increase, but the transmission distance is limited to less than 500 meters
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the channel ordering and filter parameters based on channel responses. The system determines optimal channel orders for subscriber lines and generates parameters for crosstalk mitigation filters through QR decomposition, adapting the signal processing parameters to maximize data rates while managing crosstalk effects over extended distances.
Solution Approach 2:
The patent converts the harmful far-end crosstalk noise into a manageable parameter through coordinated processing. By determining channel orders and generating crosstalk mitigation filter parameters based on channel responses, the system transforms the crosstalk interference into a factor that can be compensated and equalized, enabling high data rates over longer distances.
2Productivity
If channel ordering and crosstalk mitigation filters are implemented to equalize data rates, then the minimum achievable data rate increases, but the system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-determining channel orders and pre-computing filter parameters before actual data transmission. The system determines channel orders for subscriber lines and generates crosstalk mitigation filter parameters in advance, allowing the complex processing to be performed once and reused, thereby reducing real-time computational complexity while maintaining high minimum data rates.
Solution Approach 2:
The patent implements feedback mechanisms where channel responses are used to determine channel orders and generate filter parameters. The system continuously monitors channel conditions and adjusts the ordering and filter parameters accordingly, creating a closed-loop system that adapts to changing conditions while managing complexity through intelligent feedback-driven optimization.
Data Source
AI summary
A method implemented in a network element (NE), comprising determining, via a processor of the NE, a channel order for a set of subscriber lines at each of a plurality of subcarriers to equalize data rates of the set of subscriber lines, wherein the set of subscriber lines is coupled to a plurality of remote NEs associated with a plurality of users, determining, via the processor, parameters for a crosstalk mitigation filter for a first subcarrier from the plurality of subcarriers according to channel responses of the set of subscriber lines at the first subcarrier and a first channel order from the channel orders for the first subcarrier, and sending, via a transmitter of the NE, parameters of the crosstalk mitigation filter to facilitate joint processing of data of the plurality of users for crosstalk mitigation.