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公开(公告)号：US20230292097A1
公开(公告)日：2023-09-14
申请号：US17653915
申请日：2022-03-08
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Anwar Syed Aftab , Manoop Talasila , Lorraine Welch
CPC classification number: H04W4/90 , H04W4/06 , H04W64/003 , H04H20/71 , H04H20/59
Abstract: The described technology is generally directed towards an adapting radio access network coverage for location-based alerts. A group of cells and/or cell sectors can be selected for sending an alert, according to selection techniques described herein. The selection techniques can provide a target level of cellular coverage for a geographic area, while avoiding over-inclusion of cells and consequent dissemination of alerts to subscribers outside the geographic area. The target level of coverage can comprise a desired amount of service overlap, to achieve a corresponding level of confidence that subscribers within the geographic area will receive an alert. The selection techniques can furthermore close identified coverage gaps within the geographic area.
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公开(公告)号：US20250126600A1
公开(公告)日：2025-04-17
申请号：US18487010
申请日：2023-10-13
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Abbas Munawar Fazal , Anwar Syed Aftab , Manoop Talasila , Paul Triantafyllou
Abstract: A processing system including at least one processor may apply an input vector to a location-based services recommendation module implemented by the processing system, where the location-based services recommendation module includes at least one location-based service prediction model, and where the input vector includes first characteristics associated with a first cell site of a cellular network. The processing system may obtain an output of the location-based services recommendation module in response to the applying of the input vector, the output including a first plurality of values for a plurality of configurable settings of at least a first network element associated with the first cell site. The processing system may then configure the at least the first network element associated with the first cell site to apply at least one of the first plurality of values for at least one of the plurality of configurable settings.
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公开(公告)号：US20240056817A1
公开(公告)日：2024-02-15
申请号：US17819011
申请日：2022-08-11
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Manoop Talasila , Mukesh Mantan , Anwar Syed Aftab
Abstract: The described technology is generally directed towards reducing unwanted cellular network activities, such as phantom 911 calls or other unwanted cellular network activities. Machine learning models described herein can be trained, using device level data and network level data, to identify devices that are likely to engage in an unwanted cellular network activity. A trained machine learning model can be deployed to identify devices, and devices identified by the trained machine learning model can be re-configured to prevent them from engaging in the unwanted cellular network activity. Devices likely to engage in the unwanted cellular network activity are thus identified and reconfigured to prevent future unwanted cellular network activity before it occurs.
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Patent Agency Ranking
公开(公告)号：US11792778B2
公开(公告)日：2023-10-17
申请号：US17469316
申请日：2021-09-08
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Yu Zhou , Anwar Syed Aftab , Rittwik Jana
IPC: H04W72/04 , H04W74/08 , H04W72/02 , H04B17/336 , H04W72/0453 , H04W72/21
CPC classification number: H04W72/0453 , H04B17/336 , H04W72/02 , H04W72/21 , H04W74/0833
Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of receiving signal to noise and interference ratio (SINR) measurements from a cell for two or more uplink carriers associated with a mobile device; determining an optimal uplink carrier from the two or more uplink carriers based on plural parameters, wherein the plural parameters include the SINR measurements; selecting the optimal uplink carrier from the two or more uplink carriers; and sending the optimal uplink carrier selected to the cell, wherein the mobile device uses the optimal uplink carrier for uplink transmissions. Other embodiments are disclosed.
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公开(公告)号：US12294861B2
公开(公告)日：2025-05-06
申请号：US17819011
申请日：2022-08-11
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Manoop Talasila , Mukesh Mantan , Anwar Syed Aftab
Abstract: The described technology is generally directed towards reducing unwanted cellular network activities, such as phantom 911 calls or other unwanted cellular network activities. Machine learning models described herein can be trained, using device level data and network level data, to identify devices that are likely to engage in an unwanted cellular network activity. A trained machine learning model can be deployed to identify devices, and devices identified by the trained machine learning model can be re-configured to prevent them from engaging in the unwanted cellular network activity. Devices likely to engage in the unwanted cellular network activity are thus identified and reconfigured to prevent future unwanted cellular network activity before it occurs.
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公开(公告)号：US20230397087A1
公开(公告)日：2023-12-07
申请号：US17805114
申请日：2022-06-02
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Manoop Talasila , Jun Hu , Anwar Syed Aftab
CPC classification number: H04W40/34 , H04W4/90 , H04W40/248
Abstract: The described technology is generally directed towards public service answering point (PSAP) call routing issue detection and resolution. A PSAP call routing issue detection tool is disclosed. The PSAP call routing issue detection tool can be configured to identify PSAP call routing problems in a cellular network. The PSAP call routing issue detection tool can present the PSAP call routing problems for further analysis and correction by cellular network engineers. The PSAP call routing issue detection tool can furthermore identify and suggest call routing corrections to address identified PSAP call routing problems. The PSAP call routing issue detection tool can optionally also automatically correct identified PSAP call routing problems according to suggested call routing corrections.
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7.发明授权公开(公告)号：US11848828B1
公开(公告)日：2023-12-19
申请号：US17821636
申请日：2022-08-23
Inventor： Manoop Talasila , Anwar Syed Aftab , Wen-Ling Hsu , Cristian Borcea , Yi Chen , Xiaopeng Jiang , Shuai Zhao , Guy Jacobson , Rittwik Jana
Abstract: An artificial intelligence (AI) automation to improve network quality based on predicted locations is provided. A method can include training, by a first device comprising a processor and according to model configuration parameters received from a second device that is not the first device, a local machine learning model with training data derived from first location data collected by the first device; transmitting, by the first device to the second device, anonymized model features associated with the local machine learning model; in response to the transmitting of the anonymized model features, receiving, by the first device from the second device, an aggregated machine learning model; and estimating, by the first device, a future position of the first device by applying the aggregated machine learning model to second location data collected by the first device.
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公开(公告)号：US20230070855A1
公开(公告)日：2023-03-09
申请号：US17469316
申请日：2021-09-08
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Yu Zhou , Anwar Syed Aftab , Rittwik Jana
IPC: H04W72/04 , H04B17/336 , H04W72/02 , H04W74/08
Abstract: Aspects of the subject disclosure may include, for example, a device including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of receiving signal to noise and interference ratio (SINR) measurements from a cell for two or more uplink carriers associated with a mobile device; determining an optimal uplink carrier from the two or more uplink carriers based on plural parameters, wherein the plural parameters include the SINR measurements; selecting the optimal uplink carrier from the two or more uplink carriers; and sending the optimal uplink carrier selected to the cell, wherein the mobile device uses the optimal uplink carrier for uplink transmissions. Other embodiments are disclosed.
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