Patents by Inventor Lizhou Zhou

Lizhou Zhou 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).

  • Predicting received signal strength in a telecommunication network using deep neural networks
    Patent number: 10555192
    Abstract: A computer-implemented method for predicting received signal strength in a telecommunication network includes receiving, by one or more processors that execute a convolutional neural network, geographic data representing geographic information of a geographic area and antenna and transmit power information of a base station in the geographic area; inputting the geographic data and the antenna and transmit power information into the convolutional neural network; predicting received signal strength using the convolutional neural network that includes a number of convolution layers based on the received geographic data and the antenna and transmit power information, the received signal strength representing signal strength of wireless signals received at different locations in the geographic area; and outputting the predicted received signal strength.
    Type: Grant
    Filed: November 15, 2017
    Date of Patent: February 4, 2020
    Assignee: Futurewei Technologies, Inc.
    Inventors: Jin Yang, Xin Zhang, Jie Ren, Ruilin Liu, Xufeng Chen, Xie Wang, Qitao Song, Lizhou Zhou, Xiujun Shu
  • PREDICTING RECEIVED SIGNAL STRENGTH IN A TELECOMMUNICATION NETWORK USING DEEP NEURAL NETWORKS
    Publication number: 20190150006
    Abstract: A computer-implemented method for predicting received signal strength in a telecommunication network includes receiving, by one or more processors that execute a convolutional neural network, geographic data representing geographic information of a geographic area and antenna and trasnmit power information of a base station in the geographic area; inputing the geographic data and the antenna and trasnmit power information into the convolutional neural network; predicting received signal strength using the convolutional neural network that includes a number of convolution layers based on the received geographic data and the antenna and trasnmit power information, the received signal strength representing signal strength of wireless signals received at different locations in the geographic area; and outputting the predicted received signal strength.
    Type: Application
    Filed: November 15, 2017
    Publication date: May 16, 2019
    Inventors: Jin Yang, Xin Zhang, Jie Ren, Ruilin Liu, Xufeng Chen, Xie Wang, Qitao Song, Lizhou Zhou, Xiujun Shu