Telecom | Free Full-Text | Optimization of Signal Detection Using Deep CNN in Ultra-Massive MIMO

A model of a serial data processing system known as a convolutional neural network (CNN) was developed to recognize and manipulate widely connected data. The basic equation is as follows:$O\left(t\right)$ represents the output of the 1D convolution at position t on the output signal O, $I\left(z\right)$ denotes the value of the input data signal I at position z., $w(t-z)$ corresponds to the value of the filter w at position $(t-z)$, and b is the bias term added to the result after the convolution operation if bias is used. L is the length of the input signal I and the length of the filter w, which is also the size of the filter. This equation shows how to perform 1D Convolution using the input signal I and filter, and including the bias term b if given. To obtain $O\left(t\right)$ in the output signal I, which multiplies and adds values from all positions in I, we use the filter w,…