Nokia Solutions and Networks Oy

Alcatel Lucent

Philippe Dierickx

Nicolas Dupuis

Benoit Drooghaag

Axel Van Damme

Paschalis Tsiaflakis

Benoît Drooghaag

Issam Wahibi

Olivier Delaby

Gert-Jan Stockman

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

An apparatus, method and computer program is described comprising: combining first features extracted from an echo signal using a convolutional encoder of a convolutional encoder-decoder having first weights, wherein the echo signal is obtained in response to a transmission over a channel or a simulation thereof; and using a convolutional decoder of the convolutional encoder-decoder to generate an estimate of a frequency response of the channel based on the echo signal, wherein the convolutional decoder has second weights.

Apparatus and method for generating an estimate of a channel frequency response

Embodiments relate to an apparatus comprising means configured for:

Method and apparatus for monitoring a communication line

The method includes obtaining a loop length of a terminal section of the communication line; determining whether there is an impairment in the communication line; if no impairment, classifying the communication line into the first group; if impairment is determined, perform obtaining a location of the impairment in the communication line; determining whether the impairment is located in the terminal section of the communication line based on the loop length; if so, classifying the communication line into a second group; else, classifying the communication line into the first group; wherein, in the first group, it is qualified for an new broadband communication service, and if in the second group, it is not qualified, and wherein, the new broadband communication service is to be deployed over the terminal section of the communication line.

Method and network analyzer of evaluating a communication line

Embodiments relate to a method and an apparatus for predicting the bitrate of a repaired communication channel. The method may include, generating a dataset specifying, for a plurality of communication channels, a channel frequency response of a communication channel affected by an impairment, and a channel frequency response of the communication channel non-affected by the impairment, training, based on the dataset, a machine learning model configured to predict a channel frequency response of the repaired communication channel based on the channel frequency response of the communication channel affected by an impairment.

Method and apparatus for predicting the bitrate of a repaired communication channel

Embodiments relate to a method for detecting a broken binder in an access network including a plurality of telecommunication lines grouped in respective binders, executed by a detection device, including identifying a plurality of telecommunication lines for which a transmission interruption has been detected within a given time period obtaining line data associated with the respective identified telecommunication lines, for respective pairs of identified telecommunication lines, determining a virtual distance between the two telecommunication lines, in function of the associated line data, determining at least one cluster of telecommunication lines in function of the virtual distances, and detecting a broken binder in function of the determined at least one cluster.

Growing community of inventors

Saint-Gery, Belgium

Philippe Dierickx