Patents by Inventor Eric Antonio Alino

Eric Antonio Alino 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).

  • Publication number: 20220103271
    Abstract: Architectures and techniques are presented that can provide point-to-point analysis to generate an improved signal strength prediction (SSP) based on, e.g., earth surface image data processing and analysis to draw conclusions of line of sight (LOS) along the propagation path between a BTS or another AP transmitter and CPE receiver. For example, USGS image data and/or elevation data of locations are identified to correspond to signal propagation between the transmitter and receiver can be analyzed for LOS signal quality at a fixed location, in addition to the statistical model prediction of the RF signal quality. As a result, foliage or terrain that obstructs the LOS can be identified and utilized to improve SSP by eliminating the additional pathloss due to LOS obstructions. Such can provide a significant improvement to SSP results that are conventionally predicted by statistical models rather than a point-to-point analysis.
    Type: Application
    Filed: December 13, 2021
    Publication date: March 31, 2022
    Inventors: Zhen Wan, Xiaoyu Wang, Ravi Raina, Eric Antonio Alino, Zhefeng Li
  • Patent number: 11233593
    Abstract: Architectures and techniques are presented that can provide point-to-point analysis to generate an improved signal strength prediction (SSP) based on, e.g., earth surface image data processing and analysis to draw conclusions of line of sight (LOS) along the propagation path between a BTS or another AP transmitter and CPE receiver. For example, USGS image data and/or elevation data of locations are identified to correspond to signal propagation between the transmitter and receiver can be analyzed for LOS signal quality at a fixed location, in addition to the statistical model prediction of the RF signal quality. As a result, foliage or terrain that obstructs the LOS can be identified and utilized to improve SSP by eliminating the additional pathloss due to LOS obstructions. Such can provide a significant improvement to SSP results that are conventionally predicted by statistical models rather than a point-to-point analysis.
    Type: Grant
    Filed: December 11, 2018
    Date of Patent: January 25, 2022
    Assignees: AT&T Intellectual Property I, L.P., AT&T Mobility II LLC
    Inventors: Zhen Wan, Xiaoyu Wang, Ravi Raina, Eric Antonio Alino, Zhefeng Li
  • Publication number: 20200186266
    Abstract: Architectures and techniques are presented that can provide point-to-point analysis to generate an improved signal strength prediction (SSP) based on, e.g., earth surface image data processing and analysis to draw conclusions of line of sight (LOS) along the propagation path between a BTS or another AP transmitter and CPE receiver. For example, USGS image data and/or elevation data of locations are identified to correspond to signal propagation between the transmitter and receiver can be analyzed for LOS signal quality at a fixed location, in addition to the statistical model prediction of the RF signal quality. As a result, foliage or terrain that obstructs the LOS can be identified and utilized to improve SSP by eliminating the additional pathloss due to LOS obstructions. Such can provide a significant improvement to SSP results that are conventionally predicted by statistical models rather than a point-to-point analysis.
    Type: Application
    Filed: December 11, 2018
    Publication date: June 11, 2020
    Inventors: Zhen Wan, Xiaoyu Wang, Ravi Raina, Eric Antonio Alino, Zhefeng Li