Abstract: An apparatus, method and computer program is described as obtaining forwarded traffic volume data and discarded traffic volume data of a point-to-multipoint communication network in each of a plurality of discrete time periods over an observation period; generating calibrated forwarded and discarded traffic volume data, wherein calibration data is dependent on a calibration level; filtering, by applying signal processing techniques, multiple instances of said calibrated forwarded and discarded traffic volume data; identifying first sample periods within said observation period; and determining impact scores for the forwarded and discarded traffic volume data for each of said one or more first sample periods.

Abstract: An apparatus, method and computer program provide for obtaining channel response data including a channel frequency response of a channel over a frequency spectrum, wherein the channel frequency response is generated in response to a transmission over the channel or a simulation thereof; and generating an indication of channel impairments in response to applying the channel response data to a transformer-based machine-learning (ML) model trained to predict a channel impairment estimate.

Abstract: An apparatus, method and computer program is described comprising: obtaining channel response data comprising 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.