Adaptive Spectrum and Signal Alignment, Incorporated

Assia Spe, LLC

Assia, Inc.

Sumanth Jagannathan

John Matthew Cioffi

Wonjong Rhee

Georgios Ginis

Mehdi Mohseni

Peter Joshua Silverman

George Ginis

Chiang-yu Chen

Methods, techniques, computer program products, apparatus, devices, etc., used in connection with DSL Management Interfaces, significantly improve the management capabilities of a DSL network and/or improve testing relating to DSL equipment and services by permitting better control and operation of a DSL system, including implementation of timestamping for more accurate measurement, monitoring and control of a system. Timestamping further allows customized data collection techniques, where a DSL line can be measured or monitored at intervals whose frequency depends on the line's stability. Moreover, data parameter read and control parameter write operations are presented in conjunction with the use of timestamping. Also, control and operation of a DSL system is enhanced by implementing bit-loading that minimizes, eliminates or otherwise mitigates the amount by which the SNR margin per tone exceeds a maximum SNR margin quantity, where such bit-loading can be selected through an appropriate interface.

DSL systems and methods

DSL system

Data indicative of a level of stability of a DSL link is received. Based on the received data, it is determined whether the data indicates a level of stability of the DSL link that is above or below and minimum threshold. If the level of stability of the DSL link is below the minimum threshold, die noise associated with the DSL link before the time of failure is compared with the noise of failure. If the difference between the noise before and after the time of failure exceeds a threshold, then the difference in noise is characterized as a stationary noise associated with the DSL link. However, if the difference between the noise before and after the time of failure is below the threshold, a determination is made whether the failure is associated with a loss of power to the DSL link or a severe impulse noise event the difference in noise is characterized accordingly. Finally, the characterization of the noise associated with the DSL link is preserved for subsequent possible reconfiguration of the DSL link to improve link stability.

Method and apparatus for analyzing and mitigating noise in a digital subscriber line

A high speed multiple user multiple-loop DSL system is described. In one embodiment, it includes a first DSL loop to carry DSL traffic to a first user and a second DSL loop to carry DSL traffic to a second user. A first junction connects the traffic of the first DSL loop to a third DSL loop, and a second junction connects the traffic of the second DSL loop to the third DSL loop.

High speed multiple user multiple loop DSL system

Data indicative of a level of stability of a DSL link is received. Based on the received data, it is determined whether the data indicates a level of stability of the DSL link that is above or below a minimum threshold. If the level of stability of the DSL link is below the minimum threshold, die noise associated with the DSL link before the time of failure is compared with the noise associated with the DSL link after the time of failure. If the difference between the noise before and after the time of failure exceeds a threshold, then the difference in noise is characterized as a stationary noise associated with the DSL link. However, if the difference between the noise before and after the time of failure is below the threshold, a determination is made whether the failure is associated with a loss of power to the DSL link or a severe impulse noise event&#x2014;the difference in noise is characterized accordingly. Finally, the characterization of the noise associated with the DSL link is preserved for subsequent possible reconfiguration of the DSL link to improve link stability.

An adaptive interference cancellation system is described. In one example the system operates by receiving a data signal using a DSL (Digital Subscriber Line) and receiving a reference signal, the reference signal corresponding, in part, to noise on the data signal. The reference signal is classified and a noise cancellation signal is applied to the data signal based on the classification.

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Palo Alto, CA, United States of America

Sumanth Jagannathan