Patents by Inventor Saud Mobark Aldossari

Saud Mobark Aldossari 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).

  • Method of selecting an optimal propagated base signal using artificial neural networks
    Patent number: 11791918
    Abstract: A system and method of propagating signal links by using artificial neural networks and a relay link selection protocol to predict an optimal signal path. The artificial neural networks used in the method classify training and testing datasets into sufficient signal strengths and insufficient signal strengths, such that paths are evaluated for predicted propagation links, such that the strongest propagation link can be selected. Specifically, a multilayer perceptron method is used to identify and characterize new link candidates using the path loss parameter or the received signal strength, such that optimal links can be selected and updated.
    Type: Grant
    Filed: December 22, 2022
    Date of Patent: October 17, 2023
    Assignee: University of South Florida
    Inventor: Saud Mobark Aldossari
  • Method of selecting an optimal propagated base signal using artificial neural networks
    Patent number: 11546070
    Abstract: A system and method of propagating signal links by using artificial neural networks using a relay link selection protocol to predict an optimal link or path, providing a reliable mechanism to meet 5G-new radio requirements. The artificial neural networks used in the method classify training and testing datasets into sufficient signal strengths and insufficient signal strengths, such that paths are evaluated for predicted propagation links, and such that the strongest propagation link can be selected. Specifically, a multilayer perceptron method is used to identify and characterize new link candidates using the path loss parameter or the received signal strength, such that optimal links can be selected and updated. To determine the sufficiency of a signal, a threshold energy strength is determined (for example, a threshold of ?120 dBm can be used; any energy strength below the threshold is considered a poor propagation and is classified as an insufficient signal).
    Type: Grant
    Filed: April 30, 2021
    Date of Patent: January 3, 2023
    Assignee: University of South Florida
    Inventor: Saud Mobark Aldossari
  • System and method for predicting wireless channel path loss
    Patent number: 11128391
    Abstract: A system and method for applying supervised learning to model a second wireless channel environment based upon data collected for a first wireless channel environment. In various embodiments, regression techniques are used to overcome known channel modeling issues. Using the data of one particular communication environment, it is possible to predict a path loss model of a different communication environment. As such, the required number of measurements and the complexity of the model prediction is greatly reduced.
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: September 21, 2021
    Assignee: University of South Florida
    Inventors: Saud Mobark Aldossari, Kwang-Cheng Chen