Invention Grant
- Patent Title: Predicting received signal strength in a telecommunication network using deep neural networks
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Application No.: US15814074Application Date: 2017-11-15
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Publication No.: US10555192B2Publication Date: 2020-02-04
- Inventor: Jin Yang , Xin Zhang , Jie Ren , Ruilin Liu , Xufeng Chen , Xie Wang , Qitao Song , Lizhou Zhou , Xiujun Shu
- Applicant: Futurewei Technologies, Inc.
- Applicant Address: US TX Plano
- Assignee: Futurewei Technologies, Inc.
- Current Assignee: Futurewei Technologies, Inc.
- Current Assignee Address: US TX Plano
- Agency: Fish & Richardson P.C.
- Main IPC: H04W24/06
- IPC: H04W24/06 ; G06N3/02 ; H04W48/04

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.
Public/Granted literature
- US20190150006A1 PREDICTING RECEIVED SIGNAL STRENGTH IN A TELECOMMUNICATION NETWORK USING DEEP NEURAL NETWORKS Public/Granted day:2019-05-16
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