APPARATUS, SYSTEMS AND METHODS FOR IMPLEMENTING IMPULSE NOISE MITIGATION VIA SOFT SWITCHING

• US 20160233921A1
• Filed: 09/23/2013
• Published: 08/11/2016
• Est. Priority Date: 09/23/2013
• Status: Abandoned Application

• Current Assignee: Adaptive Spectrum and Signal Alignment, Incorporated, Chan-Soo Hwang, Goochul Chung, Mark Flowers, Ming-Yang Chen, Mithat Dogan
• Original Assignee: Adaptive Spectrum and Signal Alignment, Incorporated, Chan-Soo Hwang, Goochul Chung, Mark Flowers, Ming-Yang Chen, Mithat Dogan
• Inventors: DOGAN, Mithat, FLOWERS, Mark B., HWANG, Chan-Soo, CHEN, Ming-Yang, CHUNG, Goochul
• Application Number:
  US15/022,778
• Publication Number:
  US 20160233921A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04B 3/00 Line transmission systems combined with near-field transmission systems H04B5/00
• CPC Class Codes: H04B 3/32 Reducing cross-talk, e.g. by compensating
• CPC Class Codes: H04L 1/20 using signal quality detector
• CPC Class Codes: H04L 25/085 Arrangements for reducing interference in line transmission systems, e.g. by differential transmission
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
• CPC Class Codes: H04L 43/0847 Transmission error
• CPC Class Codes: H04M 11/062 using different frequency bands for speech and other data

Abstract

Described herein are means for implementing impulse noise detection and mitigation using impulse noise soft switching techniques. For example, such means may include: capturing measurements from one or more reference signals, the measurements corresponding to impulse noise events occurring at the DSL line; classifying the impulse noise events into a plurality of impulse noise classes; computing a blended noise mitigation strategy using one or more of the impulse noise classes; applying impulse noise soft switching to the DSL line using the blended noise mitigation strategy computed; and maintaining the blended noise mitigation strategy at the DSL line for mitigating the impulse noise events on the DSL line. Other related embodiments are disclosed.

Claims

1. A method of mitigating noise on a Digital Subscriber Line (DSL line), the method comprising:

capturing measurements from one or more reference signals, the measurements corresponding to impulse noise events occurring at the DSL line;

classifying the impulse noise events into a plurality of impulse noise classes;

computing a blended noise mitigation strategy using one or more of the impulse noise classes;

applying impulse noise soft switching to the DSL line using the blended noise mitigation strategy computed; and

maintaining the blended noise mitigation strategy at the DSL line for mitigating the impulse noise events on the DSL line.

2. The method of claim 1, further comprising:

capturing one or more non-impulse noise measurements from the one or more reference signals; and

wherein computing the blended noise mitigation strategy comprises using one or more of the impulse noise classes and one or more of the non-impulse noise measurements captured.

3. The method of claim 1, wherein maintaining the blended noise mitigation strategy at the DSL line comprises:

applying the impulse noise soft switching to the DSL line using the blended noise mitigation strategy until the occurrence of a soft switching transition event; and

applying a new blended noise mitigation strategy upon the occurrence of the soft switching transition event.

4. The method of claim 1, wherein applying the impulse noise soft switching to the DSL line further comprises applying a new blended noise mitigation strategy upon the occurrence of a soft switching transition event selected from the group comprising:

(i) a pre-determined period of time expiring for the blended noise mitigation strategy currently in effect;

(ii) effectiveness of the blended noise mitigation strategy currently applied being assessed below a threshold;

(iii) receiving instructions to apply the new blended noise mitigation strategy; and

(iv) operational performance of the DSL line falling below a threshold.

5. The method of claim 1, wherein maintaining the blended noise mitigation strategy at the DSL line comprises:

maintaining the blended noise mitigation strategy across multiple new impulse noise events occurring at the DSL line, wherein the blended noise mitigation strategy remains in effect during periods of impulse noise and during periods without impulse noise.

6. The method of claim 1, wherein a DSL modem coupled with the DSL line or a DSL line optimizer communicatively interfaced with the DSL modem performs the applying impulse noise soft switching to the DSL line and performs the maintaining the blended noise mitigation strategy at the DSL line.

7. The method of claim 6, wherein the DSL modem or the DSL line optimizer receives the blended noise mitigation strategy and responsively applies the impulse noise soft switching to the DSL line.

8. The method of claim 1:

wherein a third party service provider performs the classifying of the impulse noise events and performs the computing of the blended noise mitigation strategy;

wherein applying impulse noise soft switching to the DSL line comprises the third party service provider sending the blended noise mitigation strategy to the DSL modem or to a DSL optimizer coupled with the DSL modem with instructions to apply and maintain the DSL the blended noise mitigation strategy at the DSL line using the blended noise mitigation strategy sent; and

wherein the third party service provider is an entity separate from a DSL service provider responsible for providing DSL communication services to a DSL customer via the DSL line.

9. The method of claim 1:

wherein a DSL service provider performs the classifying of the impulse noise events and performs the computing of the blended noise mitigation strategy;

wherein applying impulse noise soft switching to the DSL line comprises the DSL service provider sending the blended noise mitigation strategy to the DSL modem coupled with the DSL line or to the DSL network component communicatively interfaced with the DSL modem with instructions to apply and maintain the blended noise mitigation strategy sent; and

wherein the DSL service provider is an entity responsible for providing DSL communication services to a DSL customer via the DSL line.

10. The method of claim 1, wherein computing the blended noise mitigation strategy using one or more of the impulse noise classes, comprises one of:

computing the blended noise mitigation strategy using two distinct impulse noise classes;

computing the blended noise mitigation strategy using the one or more impulse noise classes and further using one or more of (i) non-impulse static noise captured from the reference signals, (ii) non-impulse quasi-static noise captured from the reference signals, (iii) a no-impulse noise class, and (iv) non-impulse cross-talk noise captured from the reference signals.

11. The method of claim 1, wherein mitigating noise on the DSL line further comprises:

applying a narrow band noise canceller to the DSL line in addition to application of the blended noise mitigation strategy applied to the DSL line.

12. The method of claim 1:

wherein computing the blended noise mitigation strategy comprises a third party service provider or a DSL service provider computing multiple different blended noise mitigation strategies using a plurality of impulse noise classes based on the impulse noise events classified;

sending the multiple different blended noise mitigation strategies to a DSL network component communicatively interfaced with the DSL line with instructions to implement the impulse noise soft switching at the DSL line; and

wherein the DSL network component locally selects which one among the multiple different blended noise mitigation strategies sent to apply to the DSL line for mitigating the impulse noise events on the DSL line.

13. The method of claim 1:

wherein computing the blended noise mitigation strategy comprises determining a determining correlation functions for each of the impulse noise classes; and

computing the blended noise mitigation strategy from two or more of the covariance matrices.

14. The method of claim 1, further comprising:

ranking the plurality of impulse noise classes based on an estimated negative impact each impulse noise class imposes upon the DSL line; and

selecting one or more of the highest ranked impulse noise classes for use in computing the blended noise mitigation strategy.

15. The method of claim 1, further comprising:

estimating a negative impact to the DSL line for each of the plurality of impulse noise classes by comparing scaling DMT margin and a geometric average of noise enhancement due to the impulse noise event corresponding to the impulse noise class, wherein the noise enhancement is due to the increase of noise variance due to the impulse noise in DSL downstream tones used for communication on the DSL line.

16. The method of claim 1, further comprising:

estimating a negative impact to the DSL line for each of the plurality of impulse noise classes by comparing an Impulse Noise Protection (INP) setting of Forward Error Correction (FEC) for the DSL line with the number of Discrete Multi-Tone (DMT) symbols affected by the impulse noise event corresponding to the impulse noise class within the latency of the FEC for the DSL line.

17. The method of claim 16:

wherein the INP and FEC are learned via a communications interface to a DSL modem coupled with the DSL line or a DSL network component communicatively interfaced with the DSL modem; and

wherein the number of DMT symbols affected by the impulse noise event are learned based on an estimated periodicity of an impulse type which constitutes the impulse noise event using symbol boundary determination.

18. The method of claim 1, further comprising:

estimating a negative impact to the DSL line for each of the plurality of impulse noise classes by correlating Cyclic Redundancy Check (CRC) error stats and/or Forward Error Correction (FEC) counts obtained when the impulse noise event corresponding to the impulse noise class occurred at the DSL line; and

wherein the CRC error stats and/or the FEC counts are learned via a communications interface to a DSL modem coupled with the DSL line or a DSL network component communicatively interfaced with the DSL modem.

19. The method of claim 1, further comprising:

estimating a negative impact to the DSL line for each of the plurality of impulse noise classes by one or more of the following criteria;

(i) frequency of occurrence on the DSL line for the respective impulse noise class;

(ii) duration of high power noise over a threshold on the DSL line for the respective impulse noise class;

(iii) probability of occurrence of the respective impulse noise class on the DSL line; and

(iv) spectral content corresponding to the respective impulse noise class overlapping into frequency bands utilized by the DSL line for carrying DSL communication signals.

20. The method of claim 1, further comprising:

receiving pre-mitigation operational data for the DSL line before the blended noise mitigation strategy is applied to the DSL line;

receiving post-mitigation operational data for the DSL line after the blended noise mitigation strategy is applied to the DSL line by the DSL network component; and

evaluating performance of the blended noise mitigation strategy applied to the DSL line based on a comparison of the pre-mitigation operational data and the post-mitigation operational data.

21. The method of claim 20, wherein the pre-migration operational data and the post-migration operational data includes one or more of:

downstream Cyclic Redundancy Check (CRC) error stats;

downstream Forward Error Correction (FEC) counts;

Forward Error Correction (FEC) configuration and Impulse Noise Protection (INP) delay settings for the DSL line;

margin for the DSL line; and

downstream Maximum Attainable Bit Rate (MABR) for the DSL line.

22. The method of claim 21, wherein the pre-migration operational data and the post-migration operational data is determined according to one of:

reporting from a Digital Subscriber Line Access Multiplexer (DSLAM) communicatively interfaced with the DSL line;

reporting from a Customer Premises Equipment (CPE) modem communicatively interfaced with the DSL line; and

derived from impulse noise statistics.

23. The method of claim 1, further comprising:

computing the blended noise mitigation strategy using two or more of the impulse noise classes;

weighting each of the two or more of the impulse noise classes to be used in computing the blended noise mitigation strategy; and

wherein computing the blended noise mitigation strategy from the two or more of the impulse noise classes comprises emphasizing the impulse noise classes in the blended noise mitigation strategy having a greatest weighting over all other impulse noise classes among the two or more impulse noise classes having a lesser weighting.

24. The method of claim 1, wherein the measurements corresponding to impulse noise events occurring at the DSL line comprises:

impulse noise data between a leading edge and a trailing edge for each of the respective impulse noises;

rise and fall rates for the leading and trailing edges for each of the respective impulse noises;

leading margin data preceding the leading edge for each of the respective impulse noises; and

trailing margin data following the trailing edge for each of the respective impulse noises.

25. The method of claim 1, wherein the measurements corresponding to impulse noise events occurring at the DSL line comprises for each respective impulse noise event:

a DSL signal sample recorded from the DSL line for a period of time inclusive of;

(i) a signal portion recorded in advance of the impulse noise on the DSL line;

(ii) a signal portion recorded for the duration of the impulse noise on the DSL line; and

(iii) a signal portion recorded after the impulse noise on the DSL line.

26. The method of claim 25, wherein computing the blended noise mitigation strategy comprises:

computing the blended noise mitigation strategy based on at least the signal portions (i), (ii), and (iii) for each of the respective one or more impulse noise classes used.

27. The method of claim 26:

wherein computing the blended noise mitigation strategy comprises using one or more of the impulse noise classes and further using one or more non-impulse noise measurements captured at the DSL line; and

wherein computing the blended noise mitigation strategy further comprises, for each of the one or more impulse noise classes used and for each of the one or more of the non-impulse noise measurements used;

(a) identifying a first frequency band in which noise cancellation is not required,

(b) identifying a second frequency band in which there are known un-correlated noise sources,

(c) creating a first covariance matrix which has large power in each of the first and the second frequency bands identified, and

(d) calculating the blended noise mitigation strategy as a filter coefficient from at least the signal portions (i), (ii), and (iii) for each of the respective one or more impulse noise classes used and calculating the blended noise mitigation strategy based further on the covariance first matrix created at (c) having the large power in each of the first and the second frequency bands identified.

28. The method of claim 26:

wherein computing the blended noise mitigation strategy further includes using the one or more reference signals in the computation;

wherein, for each of the one or more reference signals used, the computing the blended further comprises;

(a) identifying correlated noise with a primary signal, and

(b) computing a power of un-correlated reference noise using correlated noise information from at least the signal portions in (i) and (iii) for each of the respective one or more impulse noise classes used as a filter coefficient by weighting the one or more reference signals using the un-correlated noise power in (ii).

29. The method of claim 1:

wherein computing the blended noise mitigation strategy comprises using two or more of the impulse noise classes; and

wherein computing the blended noise mitigation strategy further comprises, for each of the two or more impulse noise classes used;

(i) identifying the impulse noise signal in the measurement between a leading edge and a trailing edge,

(ii) identifying a trailing signal portion in the measurement following the trailing edge of the impulse noise signal,

(iii) identifying a leading signal portion greater in length than the trailing signal portion identified, the leading signal portion preceding the leading edge of the impulse noise signal,

(iv) calculating a first covariance matrix for each of the two or more impulse noise classes from the leading signal portion, the impulse noise signal, and the trailing edge portion for a first impulse in the measurements corresponding to the first of the two or more impulse noise classes,

(v) calculating a second covariance matrix for a second of the two or more impulse noise classes from the leading signal portion, the impulse noise signal, and the trailing edge portion for a second impulse in the measurements corresponding to the second of the two or more impulse noise classes, and

(vi) calculating the blended noise mitigation strategy as a filter coefficient from the first and the second covariance matrices.

30. The method of claim 1:

wherein the measurements captured from the one or more reference signals are captured at a first DSL network component coupled with the first DSL line;

wherein applying the impulse noise soft switching comprises instructing the first DSL network component coupled with the first DSL line to adopt the blended noise mitigation strategy computed based on clustering information derived from the measurements captured at the first DSL network component coupled with the first DSL line;

wherein the method further comprises passing the clustering information derived from the measurements captured at the first DSL network component to a second DSL network component coupled with a second DSL line;

wherein the second network component is to adopt a second blended noise mitigation strategy computed based at least in part on the clustering information derived from the measurements captured at the first DSL network component; and

wherein the first and the second DSL network components are each separated by a geographic distance less than a threshold or determined to reside within a common geographical neighborhood.

31. The method of claim 30, wherein the second blended noise mitigation strategy is computed based further on channel phases and gains specific to the second DSL line and distinct from channel phases and gains specific to the first DSL line.

32. The method of claim 1, wherein applying the impulse noise soft switching to the DSL line using the blended noise mitigation strategy computed comprises sending the instructions to adopt the blended noise mitigation strategy to one of:

a chipset of a Customer Premises Equipment (CPE) modem communicably interfaced with a first end of the DSL line;

a chipset of a signal conditioning device physically separate and distinct from a Customer Premises Equipment (CPE) modem, wherein the CPE modem is communicably interfaced with the first end of the DSL line and wherein the signal conditioning device is communicatively interfaced to the CPE modem;

a controller card configured within a Customer Premises Equipment (CPE) modem communicably interfaced with the first end of the DSL line; and

a controller card configured within a signal conditioning device physically separate and distinct from a Customer Premises Equipment (CPE) modem, wherein the CPE modem is communicably interfaced with the first end of the DSL line and wherein the signal conditioning device is communicatively interfaced to the CPE modem.

33. Non-transitory computer readable storage media having instructions stored thereon that, when executed by a processor, the instructions cause the processor to perform operations for mitigating noise on a Digital Subscriber Line (DSL line), the operations comprising:

capturing measurements from one or more reference signals, the measurements corresponding to impulse noise events occurring at the DSL line;

classifying the impulse noise events into a plurality of impulse noise classes;

computing a blended noise mitigation strategy using one or more of the impulse noise classes;

applying impulse noise soft switching to the DSL line using the blended noise mitigation strategy computed; and

maintaining the blended noise mitigation strategy at the DSL line for mitigating the impulse noise events on the DSL line.

34. The non-transitory computer readable storage media of claim 33:

wherein the instructions are performed by a DSL service provider or a third party service provider having at least the processor and a memory therein to store the instructions;

wherein applying impulse noise soft switching to the DSL line comprises the third party service provider sending the blended noise mitigation strategy to the DSL modem or to a DSL optimizer coupled with the DSL modem with instructions to apply and maintain the DSL the blended noise mitigation strategy at the DSL line using the blended noise mitigation strategy sent; and

wherein the DSL service provider is responsible for providing DSL communication services to a DSL customer via the DSL line and the third party service provider is an entity separate from the DSL service provider.

35. A system for mitigating noise on a Digital Subscriber Line (DSL line), the system comprising:

a memory and a processor to store and execute instructions;

an impulse noise detector to capture measurements from one or more reference signals, the measurements corresponding to impulse noise events occurring at the DSL line;

a classifier to classify the impulse noise events into a plurality of impulse noise classes;

an analysis engine to determine a blended noise mitigation strategy using one or more of the impulse noise classes;

an impulse noise mitigator to apply impulse noise soft switching to the DSL line using the blended noise mitigation strategy determined; and

wherein the impulse noise mitigator is to maintain the blended noise mitigation strategy at the DSL line for mitigating the impulse noise events on the DSL line.

36. The system of claim 35, wherein the system is to operate at one of:

a DSL service provider responsible for providing DSL communication services to a DSL customer via the DSL line, wherein the DSL service provider is to communicate with a DSL network component coupled with the DSL line via a management interface of the DSL network component; and

a third party service provider operating as a separate entity from the DSL service provider, wherein the third party service provider is to communicate with the DSL network component coupled with the DSL line via a management interface of the DSL network component.

37. The system of claim 35, wherein the system embodied within a DSL network component selected from the group comprising:

a chipset of a Customer Premises Equipment (CPE) modem communicably interfaced with a first end of the DSL line;

a chipset of a signal conditioning device physically separate and distinct from a Customer Premises Equipment (CPE) modem, wherein the CPE modem is communicably interfaced with the first end of the DSL line and wherein the signal conditioning device is communicatively interfaced to the CPE modem;

a controller card configured within a Customer Premises Equipment (CPE) modem communicably interfaced with the first end of the DSL line; and

a controller card configured within a signal conditioning device physically separate and distinct from a Customer Premises Equipment (CPE) modem, wherein the CPE modem is communicably interfaced with the first end of the DSL line and wherein the signal conditioning device is communicatively interfaced to the CPE modem.

38. The system of claim 37, further comprising:

a management interface to communicatively link the DSL network component with a DSL service provider responsible for providing DSL communication services to a DSL customer via the DSL line or a third party service provider operating as a separate entity from the DSL service provider;

wherein the analysis engine to determine the blended noise mitigation strategy using one or more of the impulse noise classes comprises receiving the blended noise mitigation strategy from the DSL service provider or the third party service provider via the management interface; and

wherein the impulse noise mitigator is to apply and maintain the blended noise mitigation strategy at the DSL line responsive to instructions for mitigating the impulse noise events on the DSL line received from the DSL service provider or the third party service provider.

39. The system of claim 38, wherein the blended noise mitigation strategy is to be computed by the DSL service provider or the third party service provider based on the measurements from the one or more reference signals captured by the DSL network component and transmitted to the DSL service provider or the third party service provider via the management interface.