US Patent:
20190150006, May 16, 2019
Inventors:
- Plano TX, US
Xin Zhang - Pennington NJ, US
Jie Ren - Somerset NJ, US
Ruilin Liu - Hillsborough NJ, US
Xufeng Chen - Shanghai, CN
Xie Wang - Shanghai, CN
Qitao Song - Shanghai, CN
Lizhou Zhou - Shenzhen, CN
Xiujun Shu - Shenzhen, CN
International Classification:
H04W 24/06
H04W 48/04
G06N 3/02
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.