Nortel Networks Corporation

Gary T Stone

Michael A Campbell

Gin Liu

Liqian Yao

Kim B Crawford

Johnny Fung

Nelson M Lee

Achieved bandwidths for existing subscribers are collected and organized into a statistical bandwidth table utilizing characterizing information, such as the Central Office (CO) that provided the service, the type of xDSL service that was provided, the primary, secondary, and other cable segments over which service was provided, and the subscriber loop length increment. To estimate anticipated bandwidth for a new subscriber, the new subscriber's characterizing information is obtained and used to select one or more entries from the statistical bandwidth table of statistical actual bandwidths achieved by other users that most closely matches the new subscriber's characterizing information. The statistical bandwidth information for the other similarly situated subscribers is used as an estimate bandwidth information for the new subscriber.

Method and apparatus for statistical prediction of access bandwidth on an xDSL network

To identify interference from other data carrying subscriber loops (i.e., from loop disturbers), a power spectral density sample may be obtained from the subscriber loop under consideration based on at least one measurement while the loop is not transmitting data. The sample power spectral density may then be correlated with each one of a set of known power spectral densities. Each known power spectral density represents a power spectral density in a loop which is not transmitting data in the presence of one of (i) no subscriber loop disturbers, (ii) a particular subscriber loop disturber, and (iii) particular subscriber loop disturbers. Based on the correlations, subscriber loop disturbers may be recognized.

Method for performing subscriber loop disturber recognition by comparing measured sample power spectral densities with a set of known power spectral densities

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Toronto, Canada

Gary T Stone