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公开(公告)号：US20240147251A1
公开(公告)日：2024-05-02
申请号：US18051622
申请日：2022-11-01
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Serkan Isci , Krystian Czapiga , Yaron Kanza , Velin Kounev , James Klosowski , Gopalakrishnan Meempat
Abstract: In one example, a method performed by a processing system including at least one processor includes creating a geospatial model of an environment in which a cellular network is to be deployed, transforming, for each cellular antenna of a proposed antenna layout of the cellular network, a radiation pattern of the each cellular antenna into a signal strength array, to create a plurality of signal strength arrays, augmenting, for each signal strength array of the plurality of signal strength arrays, the each signal strength array with at least one parameter of a corresponding cellular antenna of the proposed antenna layout and at least one value describing the environment in which the cellular network is to be deployed, and estimating a coverage of the proposed antenna layout based on the signal strength array, as augmented, using a machine learning model.
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公开(公告)号：US11637597B2
公开(公告)日：2023-04-25
申请号：US17890361
申请日：2022-08-18
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Philip Brown , Krystian Czapiga , Arun Jotshi , Yaron Kanza , Velin Kounev , Poornima Suresh
IPC: H04B7/04 , H04B7/0426 , H04B7/06 , H04B7/08 , H01Q15/02
Abstract: Aspects of the subject disclosure may include, for example, calculating a Fresnel zone about a line of sight (LoS) between a pair of antennas positioned on antenna mounts. The Fresnel zone is projected onto a geospatial grid of 3D cells, each having a height above a horizontal plane. Cells that intersect the Fresnel zone projection are selected to obtain a subset cells with constraint heights determined according to heights of the subset cells that are adjusted according to the Fresnel zone. The LoS is revised according to an algorithm to obtain a set of updated LoS. Those updated LoS that do not intersect the set of adjusted constraint heights are identified as solutions that include an optimal solution, should one exist. Other embodiments are disclosed.
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公开(公告)号：US20220377570A1
公开(公告)日：2022-11-24
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：US11438773B2
公开(公告)日：2022-09-06
申请号：US17105939
申请日：2020-11-27
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：US20220094604A1
公开(公告)日：2022-03-24
申请号：US17543788
申请日：2021-12-07
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Arun Jotshi , Kathleen Meier-Hellstern , Gaurav Thakur , Shang Li , Velin Kounev
Abstract: Aspects of the subject disclosure may include, for example, identifying a first object included in at least one image in accordance with an execution of an image processing algorithm, analyzing a plurality of parameters in accordance with at least one model responsive to the identifying of the first object included in the at least one image, wherein each parameter of the plurality of parameters is associated with the first object or a second object, selecting one of the first object or the second object for receiving at least one communication network resource responsive to the analyzing of the plurality of parameters, wherein the selecting results in a selected object, and presenting the selected object on a presentation device. Other embodiments are disclosed.
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Patent Agency Ranking
公开(公告)号：US12148232B2
公开(公告)日：2024-11-19
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
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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7.发明公开公开(公告)号：US20240337750A1
公开(公告)日：2024-10-10
申请号：US18295872
申请日：2023-04-05
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Velin Kounev , Zhangyu Wang , Serkan Isci , Ojas Kanhere , Saeed Ghassemzadeh , Milap Majmundar , James Klosowski
IPC: G01S17/894 , G08G1/16
CPC classification number: G01S17/894 , G08G1/166
Abstract: Aspects of the subject disclosure may include, for example, obtaining a plurality of inputs, wherein the plurality of inputs includes a first image captured by a first camera at a first point in time, processing the plurality of inputs to generate a first prediction regarding a first characteristic of a first signal associated with a first vehicle that is to be detected by a receiver at a second point in time that is subsequent to the first point in time, and modifying, based on the first prediction, a first parameter of a transmitter that emits the first signal, a second parameter of the receiver, or a combination thereof. Other embodiments are disclosed.
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公开(公告)号：US11902798B2
公开(公告)日：2024-02-13
申请号：US17389416
申请日：2021-07-30
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Yaron Kanza , Arun Jotshi , Velin Kounev , Krystian Czapiga
IPC: H04W16/18 , G06T7/70 , H04B17/391 , G06T15/06 , G06T15/50
CPC classification number: H04W16/18 , G06T7/70 , G06T15/06 , G06T15/506 , H04B17/3912 , G06T2207/10032 , G06T2207/20016 , G06T2207/20081 , G06T2207/20084
Abstract: Aspects of the subject disclosure may include, for example, network deployment or radio-propagation computation based on a combination of photon mapping and machine learning including supporting near-real-time computation of the radio transmissions for different layouts of antennas and allowing examination of a large variety of antenna locations and layouts, changing configuration details, e.g., tilting antennas or optimally selecting the sector that each antenna covers, and so on. Other embodiments are disclosed.
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公开(公告)号：US11536842B2
公开(公告)日：2022-12-27
申请号：US16660260
申请日：2019-10-22
Applicant: AT&T Intellectual Property I, L.P.
Inventor： Yaron Kanza , Philip Brown , Velin Kounev , Arun Jotshi
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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公开(公告)号：US11423258B2
公开(公告)日：2022-08-23
申请号：US16995228
申请日：2020-08-17
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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