Antenna Switching for 5G using Neural Network by Vary the Number of Layers

In this paper we optimize the wide narrow band antenna switching for 5G using feedforward neural network to measure the suitability for accuracy. As we know 5G terminals will have software defined radios and modulation scheme as well as new error-control schemes can be downloaded from the Internet on the run. Here we done the switching with the help of neural network taking some parameters. Each network will be responsible for handling user-mobility, while the terminal will make the final choice among different wireless/mobile access network providers for a given service. Here we have investigated and analyzed this system to optimize the neural networks as to what numbers of layers are most suitable for optimization. Here accuracy of above 81% is reported.