Predicting received signal strength in a telecommunication network using deep neural networks
US10555192B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2017 |
| Grant date | Feb 4, 2020 |
| Priority date | — |
| Expiry date | Feb 2, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W48/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.