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公开(公告)号：US20240323906A1
公开(公告)日：2024-09-26
申请号：US18732438
申请日：2024-06-03
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Abhijeet Bhorkar , Baofeng Jiang , Peter Wong
CPC classification number: H04W64/00 , G06F16/211 , G06F16/29 , G06N3/044 , G06N3/045 , G06N3/08 , H04W16/22
Abstract: A method includes selecting a first machine learning model from a plurality of machine learning models that are trained for use in performing geolocation, wherein the first machine learning model is selected to perform geolocation within a first cell of a plurality of cells of a wireless network, acquiring event data from a plurality of wireless devices within the first cell, grouping the event data into a plurality of records, wherein each record of the plurality of records contains event data that indicates a common wireless device of the plurality of wireless devices, a common cell of the plurality of cells, and a common timestamp, and generating a predicted location of a first wireless device of the plurality of wireless devices, using the first machine learning model, wherein the first machine learning model outputs the predicted location in response to an input of a record of the plurality of records.
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公开(公告)号：US11576054B2
公开(公告)日：2023-02-07
申请号：US17106335
申请日：2020-11-30
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Mehdi Malboubi , Abhijeet Bhorkar , Baofeng Jiang
Abstract: Concepts and technologies are disclosed for creating and using cell clusters. Cellular network data associated with a cellular network can be obtained. The cellular network data can include configuration data associated with a cell of the cellular network and a performance indicator associated with the cellular network. A number of cell clusters to be generated can be determined and the cell clusters can be generated. The cell clusters can include a cell cluster that can represent multiple cells including the cell. A model that represents the cell cluster can be trained. An input cluster that represents multiple inputs can be generated. The inputs can be associated with the multiple cells and the input cluster can include a value. The value can be provided as input to the model to obtain a predicted output associated with the cell cluster.
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公开(公告)号：US20220136846A1
公开(公告)日：2022-05-05
申请号：US17086362
申请日：2020-10-31
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Abhijeet Bhorkar , Mehdi Malboubi , Baofeng Jiang
Abstract: Concepts and technologies disclosed herein are directed to determining optimal routes for vehicular communications. According to one aspect disclosed herein, a route optimization system can obtain a quality of service (“QoS”) requirement, an origin location, and a destination location. The route optimization system also can obtain a key performance indicator (“KPI”). The route optimization system can select a route optimization model to be used for the QoS requirement. The route optimization system can determine, based upon the route optimization model and the key performance indicator, an optimized route from the origin location to the destination location that satisfies the quality of service requirement. The optimized route can be sent to a vehicle-to-everything (“V2X”)-enabled device for use in navigating from the origin location to the destination location while receiving a QoS that satisfies the QoS requirement.
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公开(公告)号：US11204853B2
公开(公告)日：2021-12-21
申请号：US16416730
申请日：2019-05-20
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Abhijeet Bhorkar , Mehdi Malboubi , Baofeng Jiang
Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system receives data at an edge node of a network that also includes regional nodes and central nodes. The processing system also determines a latency criterion associated with an application for processing the data; the application corresponds to an application programming interface. The method also includes processing the data in accordance with the application, monitoring a latency associated with the processing, and determining whether the latency meets the latency criterion. The processing system dynamically assigns data processing resources so that the latency meets the latency criterion; the resources include computation, network and storage resources of the edge node, a central node, and a regional node in communication with the edge node and the central node. Other embodiments are disclosed.
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公开(公告)号：US11537493B2
公开(公告)日：2022-12-27
申请号：US17524042
申请日：2021-11-11
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Abhijeet Bhorkar , Mehdi Malboubi , Baofeng Jiang
IPC: G06F11/34 , G06F11/30 , G06F9/50 , H04L43/0852 , G06F9/54 , H04L43/0817
Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system receives data at an edge node of a network that also includes regional nodes and central nodes. The processing system also determines a latency criterion associated with an application for processing the data; the application corresponds to an application programming interface. The method also includes processing the data in accordance with the application, monitoring a latency associated with the processing, and determining whether the latency meets the latency criterion. The processing system dynamically assigns data processing resources so that the latency meets the latency criterion; the resources include computation, network and storage resources of the edge node, a central node, and a regional node in communication with the edge node and the central node. Other embodiments are disclosed.
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Patent Agency Ranking
公开(公告)号：US20220400464A1
公开(公告)日：2022-12-15
申请号：US17346179
申请日：2021-06-11
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Abhijeet Bhorkar , Baofeng Jiang , Peter Wong
Abstract: A method includes selecting a first machine learning model from a plurality of machine learning models that are trained for use in performing geolocation, wherein the first machine learning model is selected to perform geolocation within a first cell of a plurality of cells of a wireless network, acquiring event data from a plurality of wireless devices within the first cell, grouping the event data into a plurality of records, wherein each record of the plurality of records contains event data that indicates a common wireless device of the plurality of wireless devices, a common cell of the plurality of cells, and a common timestamp, and generating a predicted location of a first wireless device of the plurality of wireless devices, using the first machine learning model, wherein the first machine learning model outputs the predicted location in response to an input of a record of the plurality of records.
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公开(公告)号：US20220101735A1
公开(公告)日：2022-03-31
申请号：US17039310
申请日：2020-09-30
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Mehdi Malboubi , Abhijeet Bhorkar , Baofeng Jiang
Abstract: A method includes receiving a request to create an optimal flight path for an unmanned aerial vehicle (UAV), wherein the request includes an origin and a destination of a UAV flight, receiving an indicator of network loading between the origin and destination, determining if there is a no-fly zone between the origin and the destination, creating a softwall surrounding the no-fly zone based on the identifying step, generating the optimal flight path for the UAV based on the indicator and avoidance of the softwall, and transmitting the optimal flight path to the UAV.
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公开(公告)号：US20220060911A1
公开(公告)日：2022-02-24
申请号：US17454045
申请日：2021-11-08
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Abhijeet Bhorkar , Shraboni Jana
Abstract: An example method includes estimating a number of people expected to attend a non-ticketed event, based on electronic data including social media postings, estimating a per-person amount of network traffic expected to be generated on a communications network during the non-ticketed event, based at least in part on historical per-person network traffic statistics for a historical event of a similar type to the non-ticketed event, calculating an amount of total network traffic expected to be generated during the non-ticketed event, based at least on the number of people expected to attend the non-ticketed event and the per-person amount of network traffic, and implementing a modification to an infrastructure of the communications network in a geographic location of the non-ticketed event, based at least in part on the amount of total network traffic expected to be generated during the non-ticketed event.
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公开(公告)号：US11165677B2
公开(公告)日：2021-11-02
申请号：US16164228
申请日：2018-10-18
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Mehdi Malboubi , Abhijeet Bhorkar , Baofeng Jiang
Abstract: A processing system having at least one processor may obtain, from at least one probe packet, path measurements among pairs of host devices of a plurality of host devices in a packet network comprising a plurality of links, and compose a plurality of linear equations, each linear equation relating one of the path measurements between a respective pair of host devices to at least one link performance indicator for a corresponding one or more of the links in the packet network between the respective pair of host devices. The processing system may then determine a plurality of link performance indicators for the plurality of links via a solution to the plurality of linear equations, the plurality of link performance indicators including the at least one link performance indicators of each of the linear equations, and generate a report comprising at least one of the plurality of link performance indicators.
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公开(公告)号：US10778503B2
公开(公告)日：2020-09-15
申请号：US16016388
申请日：2018-06-22
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Mehdi Malboubi , Abhijeet Bhorkar , Baofeng Jiang
Abstract: A framework to handle monitoring and automatic fault manifestation in cloud networks. Multiple techniques correlate the logs of different cloud services or generate independent capsules for each component, VM, storage, or transaction. In a first exemplary technique, an authentication token is provided by an authentication service for logs during a period of an event. In a second exemplary technique, a unique instance ID for multiple distinct processes may be created in a data model of notification logs or service logs.
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