Patents by Inventor Kevin HINSON
Kevin HINSON has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11917435Abstract: A network speed map indicating data rates (e.g., download speeds) provided by a mobile network within a geographical area can be created based on crowd-sourced data. An example process includes receiving a plurality of data samples from mobile devices, each sample including a CQI value and a geolocation. Efficiency values can be determined from sampled CQI values associated with a bin of interest within the geographical area, and a spectrum efficiency value associated with the bin can be determined based on the determined efficiency values. A data rate (e.g., a download speed) associated with the bin can be estimated based on the spectrum efficiency value, and a network speed map showing one or more bins, including the bin, with estimated data rates (e.g., download speed) can be generated and displayed on a user computing device.Type: GrantFiled: November 2, 2022Date of Patent: February 27, 2024Assignee: T-Mobile USA, Inc.Inventors: Hongliang Zhang, Julian Loaiza, Kevin Hinson, Jacob Lee
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Patent number: 11864056Abstract: Techniques are described herein for developing a fingerprint map that may be used for 3D indoor localization. In one example, a network server may leverage a building footprint from an open source database with signal measurements taken by probing user devices from signal sources such as access point (AP) devices. The network server may use the signal measurements to remotely calculate corresponding 3D positions of the AP devices in a particular building. Further, the network server may use the building footprint and the calculated 3D positions of the AP devices as references for developing the fingerprint map for 3D indoor localization.Type: GrantFiled: October 17, 2022Date of Patent: January 2, 2024Assignee: T-MOBILE USA, INC.Inventors: Narciso Faustino, Kevin Hinson, Jie Hui, Antoine Tran, Bryan Yang, Doru Culiac
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Patent number: 11832147Abstract: A telemetry data computing engine may receive the telemetry data of a user device, via a network, and it may apply a machine learning algorithm to at least one telemetry data and generate a predicted location for the user device. The predicted location may be used to generate a location pattern for the user device and a user device profile for the user device. The user device profile may be routed to the wireless carrier core network.Type: GrantFiled: March 4, 2021Date of Patent: November 28, 2023Assignee: T-Mobile USA, Inc.Inventors: Narciso Faustino, Kevin Hinson, Jie Hui, Antoine Tran, Bryan Yang, Doru Culiac
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Publication number: 20230060750Abstract: A network speed map indicating data rates (e.g., download speeds) provided by a mobile network within a geographical area can be created based on crowd-sourced data. An example process includes receiving a plurality of data samples from mobile devices, each sample including a CQI value and a geolocation. Efficiency values can be determined from sampled CQI values associated with a bin of interest within the geographical area, and a spectrum efficiency value associated with the bin can be determined based on the determined efficiency values. A data rate (e.g., a download speed) associated with the bin can be estimated based on the spectrum efficiency value, and a network speed map showing one or more bins, including the bin, with estimated data rates (e.g., download speed) can be generated and displayed on a user computing device.Type: ApplicationFiled: November 2, 2022Publication date: March 2, 2023Inventors: Hongliang Zhang, Julian Loaiza, Kevin Hinson, Jacob Lee
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Publication number: 20230044777Abstract: Techniques are described herein for developing a fingerprint map that may be used for 3D indoor localization. In one example, a network server may leverage a building footprint from an open source database with signal measurements taken by probing user devices from signal sources such as access point (AP) devices. The network server may use the signal measurements to remotely calculate corresponding 3D positions of the AP devices in a particular building. Further, the network server may use the building footprint and the calculated 3D positions of the AP devices as references for developing the fingerprint map for 3D indoor localization.Type: ApplicationFiled: October 17, 2022Publication date: February 9, 2023Inventors: Narciso FAUSTINO, Kevin HINSON, Jie HUI, Antoine TRAN, Bryan YANG, Doru CULIAC
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Patent number: 11503486Abstract: A network speed map indicating data rates (e.g., download speeds) provided by a mobile network within a geographical area can be created based on crowd-sourced data. An example process includes receiving a plurality of data samples from mobile devices, each sample including a CQI value and a geolocation. Efficiency values can be determined from sampled CQI values associated with a bin of interest within the geographical area, and a spectrum efficiency value associated with the bin can be determined based on the determined efficiency values. A data rate (e.g., a download speed) associated with the bin can be estimated based on the spectrum efficiency value, and a network speed map showing one or more bins, including the bin, with estimated data rates (e.g., download speed) can be generated and displayed on a user computing device.Type: GrantFiled: September 29, 2020Date of Patent: November 15, 2022Assignee: T-Mobile USA, Inc.Inventors: Hongliang Zhang, Julian Loaiza, Kevin Hinson, Jacob Lee
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Patent number: 11496860Abstract: Techniques are described herein for developing a fingerprint map that may be used for 3D indoor localization. In one example, a network server may leverage a building footprint from an open source database with signal measurements taken by probing user devices from signal sources such as access point (AP) devices. The network server may use the signal measurements to remotely calculate corresponding 3D positions of the AP devices in a particular building. Further, the network server may use the building footprint and the calculated 3D positions of the AP devices as references for developing the fingerprint map for 3D indoor localization.Type: GrantFiled: February 24, 2021Date of Patent: November 8, 2022Assignee: T-Mobile USA, Inc.Inventors: Narciso Faustino, Kevin Hinson, Jie Hui, Antoine Tran, Bryan Yang, Doru Culiac
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Publication number: 20220104040Abstract: A network speed map indicating data rates (e.g., download speeds) provided by a mobile network within a geographical area can be created based on crowd-sourced data. An example process includes receiving a plurality of data samples from mobile devices, each sample including a CQI value and a geolocation. Efficiency values can be determined from sampled CQI values associated with a bin of interest within the geographical area, and a spectrum efficiency value associated with the bin can be determined based on the determined efficiency values. A data rate (e.g., a download speed) associated with the bin can be estimated based on the spectrum efficiency value, and a network speed map showing one or more bins, including the bin, with estimated data rates (e.g., download speed) can be generated and displayed on a user computing device.Type: ApplicationFiled: September 29, 2020Publication date: March 31, 2022Inventors: Hongliang Zhang, Julian Loaiza, Kevin Hinson, Jacob Lee
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Publication number: 20210337346Abstract: Techniques are described herein for developing a fingerprint map that may be used for 3D indoor localization. In one example, a network server may leverage a building footprint from an open source database with signal measurements taken by probing user devices from signal sources such as access point (AP) devices. The network server may use the signal measurements to remotely calculate corresponding 3D positions of the AP devices in a particular building. Further, the network server may use the building footprint and the calculated 3D positions of the AP devices as references for developing the fingerprint map for 3D indoor localization.Type: ApplicationFiled: February 24, 2021Publication date: October 28, 2021Inventors: Narciso FAUSTINO, Kevin HINSON, Jie HUI, Antoine TRAN, Bryan YANG, Doru CULIAC
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Publication number: 20210337354Abstract: A telemetry data computing engine may receive the telemetry data of a user device, via a network, and it may apply a machine learning algorithm to at least one telemetry data and generate a predicted location for the user device. The predicted location may be used to generate a location pattern for the user device and a user device profile for the user device. The user device profile may be routed to the wireless carrier core network.Type: ApplicationFiled: March 4, 2021Publication date: October 28, 2021Inventors: Narciso FAUSTINO, Kevin HINSON, Jie HUI, Antoine TRAN, Bryan YANG, Doru CULIAC
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Publication number: 20210325189Abstract: Techniques are disclosed for locating a user device in an indoor environment such as a building based at least on a building topology model using one or more Internet of Things (IoT) devices. Certain aspects of the techniques include detecting a presence of a user device in communication with an IoT device in a building, wherein the IoT device is associated with device attributes. The building is identified based at least on a building topology model that is associated with the building and the device attributes. The location of the IoT device is determined based at least on the building topology model. The user device is located relative to the location of the IoT device.Type: ApplicationFiled: April 8, 2021Publication date: October 21, 2021Inventors: Narciso FAUSTINO, Kevin HINSON, Jie HUI, Antoine TRAN, Bryan YANG, Doru CULIAC
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Publication number: 20210329407Abstract: Techniques are described for locating user devices in an indoor environment based at least on a building topology model. The techniques include detecting a presence of a user device in a building. The building may include ingress and egress points connecting defined spaces within the building. The locations of the individual ingress and egress points are identified based at least on the movement data of the user device. A building topology model may be generated using the locations of the individual ingress and egress points. To locate the user device at a given timestamp, one or more of the ingress and egress points passed through by the user device may be identified. The location of the user device may be determined based at least on the locations of the one or more ingress and egress points passed through by the user device mapped to the building topology model.Type: ApplicationFiled: April 8, 2021Publication date: October 21, 2021Inventors: Doru CULIAC, Narciso FAUSTINO, Kevin HINSON, Jie HUI, Antoine TRAN, Bryan YANG