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1.发明申请公开(公告)号：US20230057537A1
公开(公告)日：2023-02-23
申请号：US17396232
申请日：2021-08-06
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rudolph Mappus , Laxmikanth Vallamsetla , Surekha Padala
Abstract: Facilitating striated random restart during routing of resources using a heuristic approach is provided herein. Operations of a system can include, separating objects of a group of objects into a first grouping and a second grouping, assigning first objects of the first grouping and second objects of the second grouping to respective resource elements, resulting in a first classification. A search space is enabled and includes, at respective iterations of a group of iterations, selecting a defined priority level, removing third objects of the second grouping that do not satisfy the defined priority level from the first classification, and assigning the third objects to the respective resource elements, resulting in a second classification. The first objects and the second objects, other than the third objects, remain assigned according to the first classification. According to an implementation, the schedule search reduces a search space of the group of objects.
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公开(公告)号：US20220329640A1
公开(公告)日：2022-10-13
申请号：US17809272
申请日：2022-06-27
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rudolph Mappus , Vijayan Nagarajan , Sheldon Meredith
IPC: H04L65/60 , H04L67/10 , H04L43/0876
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.
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公开(公告)号：US11126939B2
公开(公告)日：2021-09-21
申请号：US16212393
申请日：2018-12-06
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rudolph Mappus , Vijayan Nagarajan , Abhay Dabholkar , Billy Langston, Jr. , Matthew Rosenbloom , Quan Nguyen
Abstract: A processing system may obtain historical job feature, network plant feature, and calendar feature data associated with customer premises installation jobs of a telecommunication network which include a dispatch of a customer premises technician. A plurality of the customer premises installation jobs may further include a dispatch of a network-based technician. The processing system may then generate, from the historical data, a prediction model for predicting whether additional customer premises installation jobs may include a dispatch of a network-based technician, apply the prediction model to job feature, network plant feature, and calendar feature data associated with a pending customer premises installation job, determine a likelihood score of whether the pending customer premises installation job may include a dispatch of a network-based technician based upon the prediction model, and assign the pending customer premises installation job to at least a first customer premises technician in accordance with the likelihood score.
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公开(公告)号：US20230013545A1
公开(公告)日：2023-01-19
申请号：US17367970
申请日：2021-07-06
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rudolph Mappus , Sajib Barua , Xiaojie Lan
IPC: G06Q10/08 , G06F16/29 , G06F16/2457
Abstract: Methods, systems, and apparatuses may provide for receiving an indication of a set of sites in a geographical area, wherein the set of sites comprises a plurality of spare distribution sites; receiving an indication of a respective physical routing distance of each site of the geographical area; and determining a centrality value for each respective site of the plurality of candidate distribution sites of the geographic area, wherein the centrality value is based on the respective physical routing distance of each site of the geographical area.
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公开(公告)号：US20210029182A1
公开(公告)日：2021-01-28
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
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.
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Patent Agency Ranking
公开(公告)号：US20200371510A1
公开(公告)日：2020-11-26
申请号：US16418183
申请日：2019-05-21
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rudolph Mappus , Mark Morris
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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公开(公告)号：US10219115B2
公开(公告)日：2019-02-26
申请号：US15825840
申请日：2017-11-29
Applicant: AT&T Intellectual Property I, L.P. , AT&T Mobility II LLC
Inventor： Rudolph Mappus , Jeremy Fix , Ravishankar Doejode , James Morgan White
IPC: H04W4/02
Abstract: More efficient mobile device location data can be obtained by estimating a most likely location point in a coverage pattern using a kernel density estimation technique. The kernel density estimation technique can provide a continuous estimate of the most frequented locations of a mobile device(s) within a coverage area. For each wireless sector, the collected location data can grouped to the closest geographic coordinate system, and an inference can be made based on the grouped data.
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公开(公告)号：US20180098198A1
公开(公告)日：2018-04-05
申请号：US15221568
申请日：2016-07-27
Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.
Inventor： Rudolph Mappus , Herani Soewarto Brotman , James White
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.
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公开(公告)号：US20210306395A1
公开(公告)日：2021-09-30
申请号：US17347408
申请日：2021-06-14
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rudolph Mappus , Vijayan Nagarajan , Sheldon Meredith
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.
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公开(公告)号：US10805901B1
公开(公告)日：2020-10-13
申请号：US16799253
申请日：2020-02-24
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Rudolph Mappus , Vijayan Nagarajan , Abhishek Mishra
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.
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