公开(公告)号：US11374994B2

公开(公告)日：2022-06-28

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

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.

公开(公告)号：US10949782B2

公开(公告)日：2021-03-16

申请号：US16211947

申请日：2018-12-06

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

Inventor： Sang Han ,  Rudolph Mappus

IPC: G06Q10/06

Abstract: A processing system may obtain a loan graph including a travel cost for network technicians between adjacent work centers of a telecommunication network, each network technician assigned to a work center, and obtain work quantities for each work center for a day, at least a first work center having excess work for network technicians assigned to the first work center. The processing system may select, in accordance with an objective function, moves by a first subset of network technicians comprising moves to adjacent work centers from the work centers to which the first subset is assigned, select in accordance with the objective function, moves by a second subset of network technicians comprising moves to adjacent work centers from work centers to which the second subset is assigned, and generate a work plan for the day for the network technicians in accordance with the moves.

公开(公告)号：US20200184406A1

公开(公告)日：2020-06-11

申请号：US16211947

申请日：2018-12-06

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

Inventor： Sang Han ,  Rudolph Mappus

IPC: G06Q10/06

Abstract: A processing system may obtain a loan graph including a travel cost for network technicians between adjacent work centers of a telecommunication network, each network technician assigned to a work center, and obtain work quantities for each work center for a day, at least a first work center having excess work for network technicians assigned to the first work center. The processing system may select, in accordance with an objective function, moves by a first subset of network technicians comprising moves to adjacent work centers from the work centers to which the first subset is assigned, select in accordance with the objective function, moves by a second subset of network technicians comprising moves to adjacent work centers from work centers to which the second subset is assigned, and generate a work plan for the day for the network technicians in accordance with the moves.

公开(公告)号：US20200184405A1

公开(公告)日：2020-06-11

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

IPC: G06Q10/06 ,  G06Q10/04 ,  G06N5/02

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.

公开(公告)号：US09998876B2

公开(公告)日：2018-06-12

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

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

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.