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公开(公告)号：US10959109B1
公开(公告)日：2021-03-23
申请号：US16802867
申请日：2020-02-27
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Danielle Liu , Arun Jotshi , Gaurav Thakur , Velin Kounev , Fei Wu , Yaron Kanza , Divith Aruni Babu
Abstract: Concepts and technologies are disclosed herein for creating and using network coverage models. A request for a predicted coverage model that represents a first signal propagation in a first portion of a network that covers a first area associated with a first geographic location can be received. An aerial image that depicts the first area can be obtained. The aerial image can be provided to an existing coverage model. The existing coverage model can include a neural network, and the existing coverage model can be based on a second signal propagation in a second portion of the network that covers a second area associated with a second location. The predicted coverage model for the first area can be obtained from the existing coverage model.
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公开(公告)号：US20250086991A1
公开(公告)日：2025-03-13
申请号：US18951435
申请日：2024-11-18
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Yaron Kanza , Philip Brown , Velin Kounev , Arun Jotshi
IPC: G06V20/64 , G01S17/42 , G01S17/89 , G06V10/762 , G06V20/10
Abstract: An example method performed by a processing system includes obtaining a light detecting and ranging point cloud of a building, where the point cloud includes a plurality of points, and where each point is associated with a set of (x,y,z) coordinates. A first point of the plurality of points is assigned to a subset of the plurality of points that is associated with the building, where the subset includes points whose (x,y) coordinates fall within a footprint of the building. The first point is grouped into a first cluster according to at least one of: a (z) coordinate of the first point and a gradient to which the first point belongs. A first prism formed by the first cluster is constructed. A model of the building is stored as a plurality of connected prisms, where the plurality of connected prisms includes the first prism.
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13.发明公开公开(公告)号：US20240087212A1
公开(公告)日：2024-03-14
申请号：US17944236
申请日：2022-09-14
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Krystian Czapiga , Serkan Isci , Yaron Kanza , James Klosowski , Velin Kounev , Gopalakrishnan Meempat
Abstract: Aspects of the subject disclosure may include, for example, identifying a first location of an antenna, causing a first ray to be emitted from a second location that is different from the first location, generating reflected surfaces from surfaces that the first ray reflects from, generating a reflected first location of the first location using the surfaces that the first ray reflects from, identifying, based on the reflected first location, potential locations along the surfaces that the first ray reflects from using the reflected surfaces, and verifying, based on the potential locations, that the first ray traverses a valid path between the first location and the second location. Other embodiments are disclosed.
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公开(公告)号：US11658739B2
公开(公告)日：2023-05-23
申请号：US17651933
申请日：2022-02-22
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Velin Kounev , Arun Jotshi , Krystian Czapiga , Yaron Kanza
IPC: H04B10/00 , H04B10/073 , H04B10/112 , H04W16/18 , H04W16/28 , H04J14/00
CPC classification number: H04B10/0731 , H04B10/1123 , H04B10/1129 , H04W16/18 , H04W16/28
Abstract: Architectures and techniques are presented that improve or enhance a network planning procedure such as by selecting a more efficient test buffer that is used to identify objects that might intersect a Fresnel zone between two transceivers. An improved test buffer (e.g., buffer region) can be one that is constructed from a plurality of rectangles situated along a line of sight of the two transceivers and that are oriented according to cardinal directions.
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公开(公告)号：US20230078929A1
公开(公告)日：2023-03-16
申请号：US17989759
申请日：2022-11-18
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Yaron Kanza , Arun Jotshi , Velin Kounev
Abstract: Aspects of the subject disclosure may include, for example, a process for selecting equipment locations such as of cellular antennas, based on a combination of a geospatial grid representation of a planning area and optimization algorithms (which can be combined with propagation models and a 3D model of the world) where the optimization algorithm can select a deployment from a large space of options and would make RAN planning much more efficient. Other embodiments are disclosed.
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Patent Agency Ranking
公开(公告)号：US11533636B2
公开(公告)日：2022-12-20
申请号：US17389555
申请日：2021-07-30
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Yaron Kanza , Arun Jotshi , Velin Kounev
Abstract: Aspects of the subject disclosure may include, for example, a process for selecting equipment locations such as of cellular antennas, based on a combination of a geospatial grid representation of a planning area and optimization algorithms (which can be combined with propagation models and a 3D model of the world) where the optimization algorithm can select a deployment from a large space of options and would make RAN planning much more efficient. Other embodiments are disclosed.
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公开(公告)号：US20210274356A1
公开(公告)日：2021-09-02
申请号：US17194542
申请日：2021-03-08
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Danielle Liu , Arun Jotshi , Gaurav Thakur , Velin Kounev , Fei Wu , Yaron Kanza , Divith Aruni Babu
Abstract: Concepts and technologies are disclosed herein for creating and using network coverage models. A request for a predicted coverage model that represents a first signal propagation in a first portion of a network that covers a first area associated with a first geographic location can be received. An aerial image that depicts the first area can be obtained. The aerial image can be provided to an existing coverage model. The existing coverage model can include a neural network, and the existing coverage model can be based on a second signal propagation in a second portion of the network that covers a second area associated with a second location. The predicted coverage model for the first area can be obtained from the existing coverage model.
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公开(公告)号：US11997508B2
公开(公告)日：2024-05-28
申请号：US17929740
申请日：2022-09-05
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Velin Kounev , Yaron Kanza , Arun Jotshi
Abstract: A processing system may obtain usage volume information for endpoint devices for at least one cell site of a cellular network, determine at least one earning value of the at least one cell site based upon a summation of an earning metric of each of the endpoint devices for the at least one cell site, the earning metric comprising for each of the endpoint devices in a given time period: a total earning for the cellular network from the endpoint device times a ratio of the usage volume via the at least one cell site divided by the total usage volume via the cellular network, train a prediction model to predict an earning value of a new cell site, based upon geospatial features of the at least one cell site as predictor factors, and determine a predicted earning value of the new cell site via the prediction model.
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公开(公告)号：US11809522B2
公开(公告)日：2023-11-07
申请号：US17867798
申请日：2022-07-19
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Velin Kounev , Yaron Kanza , Arun Jotshi , Weiwei Duan
Abstract: Aspects of the subject disclosure may include, for example, obtaining user input identifying a first user-identified network feature of a training image of a geographical region. The training image and the user-identified feature are provided to a neural network adapted to train itself according to the user-identified features to obtain a first trained result that classifies objects within the image according to the user-identified feature. The training image and the first trained result are displayed, and user-initiated feedback is obtained to determine whether a training requirement has been satisfied. If not satisfied, the user-initiated feedback is provided to the neural network, which retrains itself according to the feedback to obtain a second trained result that identifies an updated machine-recognized feature of the training image. The process is repeated until a training requirement has been satisfied, after which a map is annotated according to the machine-recognized feature. Other embodiments are disclosed.
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公开(公告)号：US20230129673A1
公开(公告)日：2023-04-27
申请号：US18088759
申请日：2022-12-26
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Yaron Kanza , Philip Brown , Velin Kounev , Arun Jotshi
IPC: G06V20/64 , G01S17/89 , G01S17/42 , G06V20/10 , G06V10/762
Abstract: An example method performed by a processing system includes obtaining a light detecting and ranging point cloud of a building, where the point cloud includes a plurality of points, and where each point is associated with a set of (x,y,z) coordinates. A first point of the plurality of points is assigned to a subset of the plurality of points that is associated with the building, where the subset includes points whose (x,y) coordinates fall within a footprint of the building. The first point is grouped into a first cluster according to at least one of: a (z) coordinate of the first point and a gradient to which the first point belongs. A first prism formed by the first cluster is constructed. A model of the building is stored as a plurality of connected prisms, where the plurality of connected prisms includes the first prism.
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