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PREDICTING RECEIVED SIGNAL STRENGTH IN A TELECOMMUNICATION NETWORK USING DEEP NEURAL NETWORKS
PREDICTING RECEIVED SIGNAL STRENGTH IN A TELECOMMUNICATION NETWORK USING DEEP NEURAL NETWORKS
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机译:使用深层神经网络预测电信网络中的接收信号强度
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摘要
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.
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