FORECASTING BASED ON PLANNING DATA

    公开(公告)号:US20220138642A1

    公开(公告)日:2022-05-05

    申请号:US17087894

    申请日:2020-11-03

    Abstract: A method, computer-readable medium, and apparatus for improved forecasting for a network parameter of a communication network are disclosed. For example, a processing system including at least one processor may provide improved forecasting for a network parameter of a communication network based on determining an initial forecast for the network parameter, determining a forecast correction for the network parameter based on use of planning data associated with the network parameter of the communication network (e.g., one or more planning data factors known or expected to influence the network parameter), and determining an updated forecast for the network parameter based on modification of the initial forecast for the network parameter based on the forecast correction for the network parameter. For example, the processing system also may use the updated forecast for the network parameter to initiate one or more management actions for the communication network.

    METHOD AND APPARATUS FOR EFFICIENTLY PERFORMING DISCRETE MONTE CARLO SIMULATION ANALYSIS IN NETWORK-BASED MICROSERVICES

    公开(公告)号:US20220318463A1

    公开(公告)日:2022-10-06

    申请号:US17219191

    申请日:2021-03-31

    Abstract: Aspects of the subject disclosure may include, for example, receiving from a database server via a network, a reduced size set of quantile samples of a plurality of variables associated with a dynamic system, wherein the reduced size set of quantile samples is based on a standard set of quantile samples, wherein the standard set of quantile samples comprises M quantile samples based on dividing each distribution of the plurality of variables into 1/M probability steps, and wherein the reduced size set of quantile samples comprises N quantile samples based on dividing each distribution of the plurality of variables into 1/N probability steps, performing a plurality of linear interpolations upon the reduced size set of quantile samples to a restored size set of quantile samples, performing a Monte Carlo simulation using the restored size set of quantile samples to generate a simulation result, and transmitting the simulation result to a client device. Other embodiments are disclosed.

    APPARATUSES AND METHODS FOR ENHANCING HUB LOCATION ESTIMATIONS USING CLOUD SOURCED DATA

    公开(公告)号:US20240064690A1

    公开(公告)日:2024-02-22

    申请号:US17889500

    申请日:2022-08-17

    CPC classification number: H04W64/003

    Abstract: Aspects of the subject disclosure may include, for example, obtaining a dataset, the dataset including first data pertaining to geographical information associated with a plurality of entities, separating the dataset into a plurality of subsets, wherein each subset of the plurality of subsets corresponds to at least one attribute of a plurality of different attributes, ordering the plurality of subsets in accordance with respective parameter values associated with each of the subsets, wherein each of the respective parameter values corresponds to a supported distance relative to a hub, and based on the ordering, generating an estimate of a location of the hub. Other embodiments are disclosed.

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