GRID REFERENCE SYSTEM WIRELESS NETWORK ANOMALY DETECTION AND VISUALIZATION

    公开(公告)号:US20220295326A1

    公开(公告)日:2022-09-15

    申请号:US17804584

    申请日:2022-05-30

    Abstract: A processing system including at least one processor may obtain a request that identifies a region associated with a wireless communication network, identify sub-areas within the region, obtain performance indicator data for the sub-areas for a plurality of time periods from mobile devices within each sub-area, and apply an adaptive thresholding to the performance indicator data for each sub-area to determine one or more thresholds associated with the performance indicator data. The processing system may further identify a risk level, from among a plurality of risk levels, for each sub-area for at least one time periods based upon the one or more thresholds and the performance indicator data for each sub-area, where the one or more thresholds define one or more risk levels of the plurality of risk levels, and provide reporting data indicating the risk level for each sub-area for the at least one time period.

    Small cell identification using machine learning

    公开(公告)号:US11425635B2

    公开(公告)日:2022-08-23

    申请号:US17146792

    申请日:2021-01-12

    Abstract: Small cell identification using machine learning is provided. A method can include extracting, by a device comprising a processor, signal strength information for a cell in a cellular communication network from user equipment log data; estimating, by the device, path loss information associated with the cell at respective distances based on the signal strength information for the cell, resulting in estimated path loss information; and, based on the estimated path loss information, optionally along with other information such as antenna transmission power, antenna transmission frequency band, percentage of user equipments having a distance to a base station within a threshold, maximum user equipment distance to a base station, etc., classifying, by the device, the cell as a type from a group of types of cells, the group comprising a macro cell and a small cell.

    GRID REFERENCE SYSTEM WIRELESS NETWORK ANOMALY DETECTION AND VISUALIZATION

    公开(公告)号:US20210321278A1

    公开(公告)日:2021-10-14

    申请号:US16843370

    申请日:2020-04-08

    Abstract: A processing system including at least one processor may obtain a request that identifies a region associated with a wireless communication network, identify sub-areas within the region, obtain performance indicator data for the sub-areas for a plurality of time periods from mobile devices within each sub-area, and apply an adaptive thresholding to the performance indicator data for each sub-area to determine one or more thresholds associated with the performance indicator data. The processing system may further identify a risk level, from among a plurality of risk levels, for each sub-area for at least one time periods based upon the one or more thresholds and the performance indicator data for each sub-area, where the one or more thresholds define one or more risk levels of the plurality of risk levels, and provide reporting data indicating the risk level for each sub-area for the at least one time period.

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