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PREDICTING RECEIVED SIGNAL STRENGTH IN A TELECOMMUNICATION NETWORK USING DEEP NEURAL NETWORKS

机译:使用深层神经网络预测电信网络中的接收信号强度

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.
机译:一种用于预测电信网络中的接收信号强度的计算机实现的方法,包括:由执行卷积神经网络的一个或多个处理器接收表示地理区域和天线的地理信息的地理数据,以及在该网络中传输基站的功率信息。地理区域将地理数据和天线输入,并将功率信息传输到卷积神经网络中;使用卷积神经网络来预测接收信号强度,该卷积神经网络基于接收到的地理数据以及天线和传输功率信息,包括多个卷积层,接收信号强度表示在该地理区域中不同位置接收到的无线信号的信号强度;输出预测的接收信号强度。

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