Nokia Solutions and Networks Oy

Olivier Delaby

Axel Van Damme

Nicolas Dupuis

Benoit Drooghaag

Philippe Dierickx

Marwan Barrage

In one embodiment, the method includes obtaining channel response data including a first channel frequency response of a channel over a first frequency spectrum, where the first channel frequency response is generated in response to a transmission over the channel or a simulation thereof; and generating an estimate of a second channel frequency response of the channel over a second frequency spectrum in response to applying the channel response data to a machine-learning model, where the second frequency spectrum is different to the first frequency spectrum.

Apparatus and method for channel frequency response estimation

Embodiments of the present disclosure relate to an apparatus including means configured to perform: obtaining a measured channel frequency response, and a measured noise power spectral density for a line of a wired network susceptible to an impairment; deriving, in case of an indication of an impairment present on the line, from the measured channel frequency response and the measured noise power spectral density, a first theoretical noise representation for the line with the impairment and a second theoretical noise representation for the line without the impairment; and determining information indicative of a location of the impairment in the line, by processing the measured noise power spectral density, the first theoretical noise representation, and the second theoretical noise representation with a neural network.

Method and apparatus for determining the location of impairments on a line of a wired network

Embodiments relate to an apparatus for monitoring a telecommunication network including a plurality of telecommunication channels. The apparatus is configured to obtain operational data specifying the functioning of respective telecommunication channels for respective groups of telecommunication channels. The apparatus is configured to determine a difference between a number of impacted telecommunication channels in said group and an expected number of impacted telecommunication channels in said group, based on said operational data. The apparatus is configured to determine differences.

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Gosselies, Belgium

Olivier Delaby