Abstract: A method of performing federated feature selection for a machine learning model in a federated learning environment includes obtaining, at a first resolution, a global set of selector neural network weights. At a second resolution, the method selects, for a plurality of first data subsets, a first set of features from a feature space by iteratively applying a first selector neural network that is initialized with the global set of selector neural network weights to the first data subset to obtain a first set of selector neural network weights. The first data subsets are divided into a plurality of second data subsets, and, at a third resolution, a second set of features is selected from the feature space.

Abstract: Embodiments herein disclose, e.g., a method performed by a control network node in a communications network for handling machine learning (ML) models in the communications network. The control network node determines whether or not to transmit to a network node in the communications network a ML model based on a signature and/or a loss value of the network node, wherein the signature and/or the loss value is related to ML modelling. In case where it is determined to transmit, the control network node transmits the ML model to the network node.

Abstract: Managing network event data in a telecommunication network. The method includes obtaining a plurality of datasets having network event data associated with products provided by a different vendor, the network event data comprising a plurality of data instances representing a plurality of network event features. The method further comprises obtaining metadata describing the network event data in the datasets and generating feature description vectors from the obtained metadata, calculating a metric of the relation between network event features represented in the datasets and constructing a graph of the network event features represented in the datasets, with edges weighted according to the calculated metric, partitioning the graph into clusters by minimising an edge cut between network event features , labelling network event features in the cluster with a normalised network event feature index and inputting the labelled network event data to a model for making at least one of recommendations or predictions.

Abstract: A method (100) of controlling playout of advertisement content during video-on-demand video streaming on an end-user client terminal comprising steps of: receiving (110) advertisement content from an advertisement server; receiving (112) video-on-demand, VoD, content from a content delivery network; obtaining (114) network quality metrics between the end-user terminal and the content delivery network; predicting (116) whether a stalling event will occur during playout of VoD content within a prediction time window based on the network quality metrics; and playing out (118) received VoD content and received advertisement content, wherein playout of advertisement content within the prediction time window is dependent on a result of the prediction.

Abstract: Federated learning is used to predict network communication performance at an edge node (10-1). The edge node (10-1) trains a local model (14-1) of network communication performance over one or more rounds of training, based on a local training dataset (22-1) and based on multi-node training information (20-1) received in each round of training. This information (20-1) comprises In information about local models (14-2, . . . 14-N) at other respective edge nodes (10-2, . . . 10-N) as trained based on local training datasets at the other edge nodes (10-2, . . . 10-N). After or as part of each round of training, the edge node (10-1) transmits control signaling that indicates an accuracy of the local model (14-1) as trained through that round of training, that indicates whether another round of training is needed or desired, and/or that indicates whether any further information (20-1) is needed or desired.

Abstract: A method and a wireless device (100) for handling transmission of data. The cost for transmitting the data from the wireless device (100) can be reduced or even minimized by delaying (1:3) transmission until the transmission cost becomes lower, provided that the data can wait without becoming obsolete or useless at the receiving side. This is made possible by determining a delay tolerance of the data and determining a cost prediction for transmission (1:6) within said delay tolerance, e.g. when a cheaper connection (1:4) is used. Advantages may include reduced price to pay for the transmission, less energy consumption, and avoided usage of precious radio resources and network resources at times when the traffic load is high.

Abstract: The disclosure provides methods, apparatus and machine-readable mediums for mitigating power failures in base stations in wireless communication networks. In one aspect of the disclosure, a method for mitigating power failures in a wireless communication network is provided. The method comprises, responsive to a determination that a primary power supply for a base station in the wireless communication network has failed or is predicted to fail, initiating deployment of an unmanned aerial vehicle to the base station to charge one or more batteries providing a secondary power supply for the base station.

Abstract: Methods include training, using a generative adversarial network, a generator model using data noise that includes data corresponding to real problems of a telecommunication site, generating a generated problem that has not occurred at the telecommunication site and that has a non-zero probability of occurring at the site in the future, providing the generated problem to a virtual agent that is configured to generate a solution action to resolve the generated problem, evaluating the solution action relative to the generated problem to determine a performance value corresponding to the solution action, and responsive to the performance value being higher than other performance values corresponding to other solution actions for the generated problem, generating a generic problem model that corresponds to the generated problem and that is associated with the solution action.

Abstract: A method and a communication device (200) for controlling reception of data when a maximum total amount of received data is stipulated for a time period. An amount of data received during said time period is monitored (2:5) and compared with a predicted distribution of data (200A) that the device (200) is expected to receive without exceeding the maximum total amount. An amount of requested data is then reduced (2:6, 2:7) when detecting that the monitored amount of received data exceeds the predicted distribution of data, so that the maximum total amount of data will not be exceeded before the time period expires.

Abstract: A method (100) of controlling playout of advertisement content during live video streaming at an end-user terminal comprising steps of: receiving (110) advertisement content from an advertisement server; receiving (112) live streamed video content from a content delivery network and playing out the video content; obtaining (114) at least one of image features and audio features of the video content during playout; calculating (116) a content importance rating of video content to be played out during a prediction time window based on said features; and postponing (118) playout of advertisement content scheduled to be played out during the prediction time window if the calculated content importance rating for the prediction time window is above a threshold value.

Abstract: The disclosure provides methods, apparatus and machine-readable mediums for the detection of sleeping cells in a cellular network. A method of detecting a sleeping cell in a cellular communication network comprises: monitoring power consumption of a radio transmission point of the cellular communication network; providing the power consumption of the radio transmission point as an input to a classification model, developed using a machine-learning algorithm; and obtaining an output from the classification model, the output classifying the radio transmission point as serving one of a sleeping cell and a non-sleeping cell.

Abstract: A method (100) of controlling playout of advertisement content during live video streaming at an end-user terminal comprising steps of: receiving (110) advertisement content from an advertisement server; receiving (112) live streamed video content from a content delivery network and playing out the video content; obtaining (114) at least one of image features and audio features of the video content during playout; calculating (116) a content importance rating of video content to be played out during a prediction time window based on said features; and postponing (118) playout of advertisement content scheduled to be played out during the prediction time window if the calculated content importance rating for the prediction time window is above a threshold value.

Abstract: A buffer status metric representing a current amount of video packets in a video playback buffer (303) of a user device (300). A buffer status action is triggered based on the buffer status action and at least one of a mobility metric representing a mobility pattern of the user device (300) and a radio quality metric representing a signal strength of a radio channel carrying video packets towards the user device (300). The embodiments also relate to determination of a buffer control model (142) that can be used in order to control the video playback buffer based on the input metrics. The embodiments achieve a more efficient control of video playback buffers (303) and may reduce the risk of freezes during video playback.

Abstract: A method (100) of controlling playout of advertisement content during video-on-demand video streaming on an end-user client terminal comprising steps of: receiving (110) advertisement content from an advertisement server; receiving (112) video-on-demand, VoD, content from a content delivery network; obtaining (114) network quality metrics between the end-user terminal and the content delivery network; predicting (116) whether a stalling event will occur during playout of VoD content within a prediction time window based on the network quality metrics; and playing out (118) received VoD content and received advertisement content, wherein playout of advertisement content within the prediction time window is dependent on a result of the prediction.

Abstract: There are provided mechanisms for traffic steering between a first radio access network node and a second radio access network node. A method is performed by a system. The method includes obtaining, for each of the first radio access network node and the second radio access network node, a respective predicted traffic throughput for a wireless device. The wireless device is in dual connectivity with the first radio access network node and the second radio access network node. The method includes determining splitting of transmission of a flow of data destined for the wireless device between the first radio access network node and the second radio access network node according to the obtained predicted traffic throughputs. The method includes initiating traffic steering of the flow of data between the first radio access network node and the second radio access network node according to the splitting.

Abstract: An initial bitrate is selected for a video delivery session by a user equipment (5, 200) performing, during a time window from initiation of a video player application in the user equipment (5, 200) up to selection of a video content, network measurements of a current condition of a network used to deliver the video content to the user equipment (5, 200). A respective initial buffer duration is provided for each bitrate available for the video content and where these respective initial buffer durations are predicted based on at least one network metric derived from the network measurements. An initial bitrate for delivering the video content over the network to the user equipment is selected based on the respective initial buffer durations.

Abstract: A method and a wireless device (100) for handling transmission of data. The cost for transmitting the data from the wireless device (100) can be reduced or even minimized by delaying (1:3) transmission until the transmission cost becomes lower, provided that the data can wait without becoming obsolete or useless at the receiving side. This is made possible by determining a delay tolerance of the data and determining a cost prediction for transmission (1:6) within said delay tolerance, e.g. when a cheaper connection (1:4) is used. Advantages may include reduced price to pay for the transmission, less energy consumption, and avoided usage of precious radio resources and network resources at times when the traffic load is high.

Abstract: A buffer status metric representing a current amount of video packets in a video playback buffer (303) of a user device (300). A buffer status action is triggered based on the buffer status action and at least one of a mobility metric representing a mobility pattern of the user device (300) and a radio quality metric representing a signal strength of a radio channel carrying video packets towards the user device (300). The embodiments also relate to determination of a buffer control model (142) that can be used in order to control the video playback buffer based on the input metrics. The embodiments achieve a more efficient control of video playback buffers (303) and may reduce the risk of freezes during video playback.

Abstract: There are provided mechanisms for traffic steering between a first radio access network node and a second radio access network node. A method is performed by a system. The method includes obtaining, for each of the first radio access network node and the second radio access network node, a respective predicted traffic throughput for a wireless device. The wireless device is in dual connectivity with the first radio access network node and the second radio access network node. The method includes determining splitting of transmission of a flow of data destined for the wireless device between the first radio access network node and the second radio access network node according to the obtained predicted traffic throughputs. The method includes initiating traffic steering of the flow of data between the first radio access network node and the second radio access network node according to the splitting.

Abstract: Access control node (200), access device (202A), tethering device (204), and methods therein, for enabling wireless access to a communications network (208). One or more access devices (202) having a wireless connection to the network (208) provide (2:1) relay properties to an access control node (200). When detecting (2:2) that network access is wanted for the tethering device (204), the access control node (200) selects (2:3) an access device (202A) based on the obtained relay properties, to be used for sharing wireless connection with the tethering device (204). The access control node (200) then instructs (2:4) the selected access device (202A) to be available as a relay to the communications network (208) for the tethering device (204) via a wireless link between the access device (202A) and the tethering device (204). The tethering device (204) can then access (2:8) the communications network over the wireless link.