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    Systems and method for management and allocation of network assets
    21.
    发明授权
    Systems and method for management and allocation of network assets 有权

    公开(公告)号：US11209808B2

    公开(公告)日：2021-12-28

    申请号：US16418183

    申请日：2019-05-21

    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.

    Streaming content cache scheduling
    22.
    发明授权
    Streaming content cache scheduling 有权

    公开(公告)号：US11038940B2

    公开(公告)日：2021-06-15

    申请号：US16518229

    申请日：2019-07-22

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

    Inventor： Rudolph Mappus ,  Vijayan Nagarajan ,  Sheldon Meredith

    IPC: H04L29/06 ,  H04L29/08 ,  H04L12/26

    Abstract: A processing system including at least one processor may collect a first set of time series features relating to requests for a content item at a content distribution node in a communication network, generate a first prediction model based upon the first set of time series features to predict levels of demand for the content item at the content distribution node at future time periods, identify, via the first prediction model, a first time period of the future time periods when a predicted level of demand for the content item exceeds a threshold level of demand, identify a second time period of the future time periods when a predicted level of utilization of the communication network is below a threshold level of utilization, the second time period being prior to the first time period, and transfer the content item to the content distribution node in the second time period.

    INFERRING USER EQUIPMENT LOCATION DATA BASED ON SECTOR TRANSITION
    24.
    发明申请
    INFERRING USER EQUIPMENT LOCATION DATA BASED ON SECTOR TRANSITION 审中-公开

    公开(公告)号：US20180270621A1

    公开(公告)日：2018-09-20

    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

    CPC classification number: H04W4/029 ,  G01S5/0027 ,  G01S5/02 ,  G01S5/0252 ,  G01S5/0294 ,  H04W4/023 ,  H04W8/20 ,  H04W64/006

    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 eh 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.

    IDENTIFYING AND LOCALIZING EQUIPMENT FAILURES
    26.
    发明公开
    IDENTIFYING AND LOCALIZING EQUIPMENT FAILURES 审中-公开

    公开(公告)号：US20230155884A1

    公开(公告)日：2023-05-18

    申请号：US18149699

    申请日：2023-01-04

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

    Inventor： George Goehring ,  Barry Karesh ,  Rudolph Mappus

    IPC: H04L41/0677 ,  H04L41/0686 ,  H04L41/0631

    CPC classification number: H04L41/0677 ,  H04L41/0686 ,  H04L41/065

    Abstract: The disclosed technology is directed towards automatically detecting failure states and the cause of the failure. For a network, the technology collects status messages from equipment and customers into batches as they occur. The technology groups and aggregates messages, then transforms the aggregations to the frequency domain. Anomalies induce detectable changes in the particle distribution of a trained particle filter, from which an anomalous spectrogram is generated. The status messages of each device are iteratively removed from the larger set of messages, resulting in reduced subsets that are each aggregated, transformed into a modified spectrogram and compared against the anomalous spectrogram to obtain a distance score. The distance score for each device is used to rank the devices with respect to being the cause of the failure.

    REUSE OF MACHINE LEARNING MODELS
    27.
    发明申请
    REUSE OF MACHINE LEARNING MODELS 有权

    公开(公告)号：US20230101955A1

    公开(公告)日：2023-03-30

    申请号：US17486798

    申请日：2021-09-27

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

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

    IPC: G06N20/00 ,  G06K9/62

    Abstract: A method performed by a processing system including at least one processor includes defining a proposal for a proposed machine learning model, identifying an existing machine learning model, where the existing machine learning model shares a similarity with the proposed machine learning model, evaluating a fitness of the existing machine learning model for reuse in building the proposed machine learning model, building a new machine learning model that is consistent with the proposal for the proposed machine learning model by reusing a portion of the existing machine learning model, and monitoring a performance of the new machine learning model in a deployment environment.

    Identifying and localizing equipment failures
    28.
    发明授权
    Identifying and localizing equipment failures 有权

    公开(公告)号：US11558241B1

    公开(公告)日：2023-01-17

    申请号：US17471413

    申请日：2021-09-10

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

    Inventor： George Goehring ,  Barry Karesh ,  Rudolph Mappus

    IPC: H04L41/0677 ,  H04L41/0686 ,  H04L41/0631

    Abstract: The disclosed technology is directed towards automatically detecting failure states and the cause of the failure. For a network, the technology collects status messages from equipment and customers into batches as they occur. The technology groups and aggregates messages, then transforms the aggregations to the frequency domain. Anomalies induce detectable changes in the particle distribution of a trained particle filter, from which an anomalous spectrogram is generated. The status messages of each device are iteratively removed from the larger set of messages, resulting in reduced subsets that are each aggregated, transformed into a modified spectrogram and compared against the anomalous spectrogram to obtain a distance score. The distance score for each device is used to rank the devices with respect to being the cause of the failure.

    FACILITATING LOCALIZATION OF FAULTS IN CORE, EDGE, AND ACCESS NETWORKS
    29.
    发明申请
    FACILITATING LOCALIZATION OF FAULTS IN CORE, EDGE, AND ACCESS NETWORKS 有权

    公开(公告)号：US20220385526A1

    公开(公告)日：2022-12-01

    申请号：US17335888

    申请日：2021-06-01

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

    Inventor： Lucus Haugen ,  Rudolph Mappus ,  Jianlei Zhang

    IPC: H04L12/24

    Abstract: Facilitating localization of faults in core, edge, and access networks is provided herein. Operations of a system can include establishing a restoration of a group of communication paths of a network infrastructure that includes network nodes between a root network node and a leaf network node. A fault is determined to exist in the group of communication paths between the root network node and the leaf network node. The operations also can include determining that a defined network node of the network nodes is a source of the fault based on respective positions of user equipment experiencing the fault relative to the defined network node. Further, the operations can include removing the fault based on controlling a functionality of the defined network node.

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