CELL SITE ENERGY UTILIZATION MANAGEMENT
    2.
    发明公开

    公开(公告)号:US20240031850A1

    公开(公告)日:2024-01-25

    申请号:US17870393

    申请日:2022-07-21

    CPC classification number: H04W24/10 H04W24/08 H04W36/0083 H04W52/0206

    Abstract: A processing system may apply a data set comprising utilization metrics of a cells of a cell sector to a throughput prediction model to obtain a first predicted throughput for the cell sector for a designated future time period and for all cells being in an active state. The processing system may generate a first modified data set simulating a first cell being placed in an inactive state, by distributing utilization metrics of the first cell over at least one additional cell, and may apply the first modified data set to the throughput prediction model to obtain a second predicted throughput. The processing system may then determine that the second predicted throughput meets a threshold throughput that is based on the first predicted throughput, and transmit at least one instruction to place the first cell in the inactive state for the designated future time period in response to the determining.

    Event-Based Analytics Tool for Networks
    7.
    发明公开

    公开(公告)号:US20240340216A1

    公开(公告)日:2024-10-10

    申请号:US18130508

    申请日:2023-04-04

    CPC classification number: H04L41/0631 H04L41/069 H04L43/0823

    Abstract: An event-based analytics tool can obtain, from a data lake, an instance of correlated event data including a first event from a first network device a second event from a second network device, and data correlating the first event to the second event. The event-based analytics tool can obtain PCAP data from a troubleshooting server via a first application programming interface. The event-based analytics tool can also obtain a log from a searchable log database via a second application programming interface. Based on the correlated event data, the packet capture data, and the log, the event-based analytics tool can generate a prediction model that can be used to predict a cause of a future event.

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