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    TELECOMMUNICATION NETWORK CUSTOMER PREMISES SERVICE SCHEDULING OPTIMIZATION
    11.
    发明申请
    TELECOMMUNICATION NETWORK CUSTOMER PREMISES SERVICE SCHEDULING OPTIMIZATION 审中-公开

    公开(公告)号：US20200184407A1

    公开(公告)日：2020-06-11

    申请号：US16215450

    申请日：2018-12-10

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Rudolph Mappus ,  Tejas Antani ,  Quan Nguyen ,  Erian Laperi ,  Mark D. Austin ,  Abhay Dabholkar

    IPC: G06Q10/06 ,  G06Q10/04 ,  G06N20/00

    Abstract: A processing system may obtain a request for a new assignment for field technician work associated with a customer premises of a telecommunication network and generate a hypothetical schedule for a future date for field technicians from a set of scheduled assignments in accordance with first optimization factors, the hypothetical schedule including bundles of scheduled assignments for field technician work, each bundle including scheduled assignments for an individual field technician for the future date. The processing system may then determine opportunity windows for scheduling the new assignment comprising time blocks for which individual field technicians are not scheduled to work one of the scheduled assignments in a respective bundle in accordance with the hypothetical schedule, rank the opportunity windows in accordance with second optimization factors, and provide to a customer associated with the customer premises, an offer of an opportunity window, the offer including a rank of the opportunity window.

    Inferring user equipment location data based on sector transition
    12.
    发明授权
    Inferring user equipment location data based on sector transition 有权

    公开(公告)号：US10595164B2

    公开(公告)日：2020-03-17

    申请号：US15989143

    申请日：2018-05-24

    Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.

    Inventor： Rudolph Mappus ,  Herani Soewarto Brotman ,  James White

    IPC: H04W4/029 ,  G01S5/02 ,  G01S5/00 ,  H04W64/00 ,  H04W8/20 ,  H04W4/02

    Abstract: Determining a location of a user equipment (UE) based on historical location data and historical sector transition data is disclosed. A correlation between historic location information and a historic sector transition can be determined. The correlation can be stored in a searchable data set. A location of a current UE can be inferred based on a sector transition of the current UE. The sector transition of the current UE can be searched against the data set to indicate a likely location of the current UE based on historical information. The searchable data set can be based on sparse location data enabling location determinations for a current UE that can otherwise lack location services. Moreover, an order of a sector transition can imbue a directionality to stored location information such that a likely location in a sector can be correlated to a transition from a prior sector of a network session of the UE.

    User equipment localization through time series search
    13.
    发明授权
    User equipment localization through time series search 有权

    公开(公告)号：US10575276B1

    公开(公告)日：2020-02-25

    申请号：US16418034

    申请日：2019-05-21

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Rudolph Mappus ,  Vijayan Nagarajan ,  Abhishek Mishra

    IPC: H04W64/00 ,  G01S5/02

    Abstract: A processing system collects data points, wherein each data point indicates a location of user equipment in a telecommunication service provider network at a point in time, generates, for a first data point, a set of features over a plurality of time windows, wherein the set includes time series features, estimates an importance of each feature, wherein the importance indicates an accuracy with which the feature allows for estimation of an unseen location of the user equipment, wherein the unseen location is a location that is not identified in the plurality of data points, selects a threshold number of features from the set, wherein the threshold number of features have a greatest importance relative to all features in the set, generates a plurality of predictions of the unseen location, using the threshold number of features, aggregates the plurality of predictions, and estimates the unseen location based on the aggregating.

    AUTOMATIC DISCOVERY OF MACHINE LEARNING MODEL FEATURES
    17.
    发明申请
    AUTOMATIC DISCOVERY OF MACHINE LEARNING MODEL FEATURES 有权

    公开(公告)号：US20230099502A1

    公开(公告)日：2023-03-30

    申请号：US17486770

    申请日：2021-09-27

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Jeremy Fix ,  Cuong Vo ,  Eric Zavesky ,  Abhay Dabholkar ,  Rudolph Mappus ,  James Pratt

    IPC: G06N5/02

    Abstract: A method performed by a processing system including at least one processor includes monitoring interactions of a human user with a platform for building machine learning models, where the human user is using the platform to build a new machine learning model, detecting, within the interactions, an event that triggers a suggestion feature, performing a search of a data source for existing data from existing machine learning models which can be reused to build the new machine learning model, using information about the event, presenting a suggestion to the human user to reuse a portion of the existing data discovered in the search in the new machine learning model, receiving a user feedback in response to the suggestion, and generating an updated suggestion in response to the user feedback.

    ADAPTIVE SPARE EQUIPMENT ALLOCATION TECHNIQUES
    18.
    发明申请
    ADAPTIVE SPARE EQUIPMENT ALLOCATION TECHNIQUES 有权

    公开(公告)号：US20220329478A1

    公开(公告)日：2022-10-13

    申请号：US17226747

    申请日：2021-04-09

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Rudolph Mappus ,  George Goehring ,  Mark Morris

    IPC: H04L12/24 ,  H04L12/26

    Abstract: Architectures and techniques are presented that improve or optimize (e.g., within a factor of optimal) spare equipment allocation. Efficient spare equipment allocation is capable of satisfying many orthogonal or even conflicting goals such as reducing the cost of purchase and storage of the spare equipment while simultaneously seeking to reduce downtime due to failed equipment resulting from too sparse coverage by the spare equipment. A sparing procedure can identify depot nodes that are indicative of depot locations where a spare device is to be stored.

    SYSTEMS AND METHOD FOR MANAGEMENT AND ALLOCATION OF NETWORK ASSETS
    20.
    发明申请
    SYSTEMS AND METHOD FOR MANAGEMENT AND ALLOCATION OF NETWORK ASSETS 有权

    公开(公告)号：US20220075361A1

    公开(公告)日：2022-03-10

    申请号：US17529326

    申请日：2021-11-18

    Applicant: AT&T Intellectual Property I, L.P.

    Inventor： Rudolph Mappus ,  Mark Morris

    IPC: G05B23/02 ,  G06F17/16 ,  G06F17/18

    Abstract: A method for generating a multi-layer predictive model includes collecting historical observable data from one or more pieces of equipment of a same type, wherein the historical observable data is collected at different hierarchical levels of the one or more pieces of equipment; collecting operational state indications of the pieces of equipment corresponding to the collected historical observable data; generating, from the collected historical observable data, a set of operational state models, wherein each operational state model corresponds to one of the different hierarchical levels; and generating, from outputs of the set of operational state models, a top-level operational model for the piece of equipment. The top-level operational model is operable to determine maintenance and replacement timing for the piece of equipment.

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