Method and apparatus for carrier aggregation optimization

    公开(公告)号:US12144013B2

    公开(公告)日:2024-11-12

    申请号:US17625257

    申请日:2019-07-10

    Abstract: The invention relates to a method for configuring carrier aggregation for a current user equipment (14) located in a wireless communication network in a coverage area of a base station which is capable of emitting a plurality of carrier components with a plurality transmission beams per carrier component, the method comprising: retrieving quality metrics beams from a database (16) comprising quality metrics associated with a carrier component of the plurality of carrier components and with a user equipment of a plurality of user equipments; determining, using the quality metrics, one or more candidate carrier components to be configured or de-configured for the current user equipment as secondary carrier components; configuring or de-configuring said one or more carrier components.

    Efficient data generation for beam pattern optimization

    公开(公告)号:US11012133B2

    公开(公告)日:2021-05-18

    申请号:US17018615

    申请日:2020-09-11

    Abstract: In some embodiments, a computing system maintains, in a memory, information on one or more terminal devices, a dictionary of beams and information on a spatial grid. The computing system maps each terminal device to the spatial grid based on up-to-date results of radio measurements and calculates, for each spatial element, a load caused by the one or more terminal devices based on the mapping. The computing system evaluates, for each combination of a beam and a terminal device, a reference signal received power, RSRP, based on results of the radio measurements. The computing system calculates a first map of expected spatial distribution of traffic based on the calculated loads and beam-specific second maps of expected RSRP based on the values of the RSRP. Finally, the computing system causes performing beamforming optimization based on the first map and second maps.

    Optimizing usage of power using switch off of cells

    公开(公告)号:US11576118B1

    公开(公告)日:2023-02-07

    申请号:US17878554

    申请日:2022-08-01

    Abstract: Disclosed is a method comprising obtaining historical data from a plurality of access nodes comprised in a network, determining, for at least one of the plurality of access nodes, a region comprising a set of values for threshold pairs that comprise minimum and maximum threshold pairs, determining, from the region, one threshold pair, wherein the threshold pair defines pre-determined thresholds for determining if a cell is to be switched on or switched off, providing the threshold pair to the network for deployment, and collecting data regarding at least one key performance indicator from the plurality of access nodes.

    Method and Apparatus for Anomaly Detection in a Network

    公开(公告)号:US20220200857A1

    公开(公告)日:2022-06-23

    申请号:US17643936

    申请日:2021-12-13

    Abstract: An apparatus for anomaly detection in a network, using an autoencoder including an encoder and a decoder. The apparatus includes a processor and a memory including computer program code, causing the apparatus to: providing the decoder with network configuration parameters used to obtain calculated network performance indicators, obtaining reconstructed network performance indicators from the decoder based on the network configuration parameters used to obtain the calculated network performance indicators, comparing the reconstructed network performance indicators with the calculated network performance indicators, detecting an anomaly when observing a deviation between the reconstructed network performance indicators and the calculated network performance indicators, providing the encoder with the calculated network performance indicators, obtaining estimated network configuration parameters from the encoder based on the calculated network performance indicators, detecting that the anomaly is related to the network configuration parameters.

    Machine learning based handover parameter optimization

    公开(公告)号:US11665605B2

    公开(公告)日:2023-05-30

    申请号:US17188264

    申请日:2021-03-01

    CPC classification number: H04W36/0094 G06N20/00 H04W36/00837 H04W36/245

    Abstract: Disclosed is a method comprising obtaining a plurality of handover parameter values, using a first machine learning model to select a subset of handover parameter values from the plurality of handover parameter values, obtaining historical information of a plurality of terminal devices, determining a first set of optimal handover parameter values for the plurality of terminal devices from the subset of handover parameter values, tagging the first set of optimal handover parameter values with the historical information of the plurality of terminal devices to obtain a labelled dataset, and training a second machine learning model with the labelled dataset, wherein the trained second machine learning model is capable of predicting a second set of optimal handover parameter values for a first terminal device based on historical information of the first terminal device.

    Method and apparatus for anomaly detection in a network

    公开(公告)号:US11570046B2

    公开(公告)日:2023-01-31

    申请号:US17643936

    申请日:2021-12-13

    Abstract: An apparatus for anomaly detection in a network, using an autoencoder including an encoder and a decoder. The apparatus includes a processor and a memory including computer program code, causing the apparatus to: providing the decoder with network configuration parameters used to obtain calculated network performance indicators, obtaining reconstructed network performance indicators from the decoder based on the network configuration parameters used to obtain the calculated network performance indicators, comparing the reconstructed network performance indicators with the calculated network performance indicators, detecting an anomaly when observing a deviation between the reconstructed network performance indicators and the calculated network performance indicators, providing the encoder with the calculated network performance indicators, obtaining estimated network configuration parameters from the encoder based on the calculated network performance indicators, detecting that the anomaly is related to the network configuration parameters.

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