Analysis of Neural Networks Based OTFS Wireless System

In this rapidly expanding generation, Orthogonal Time Frequency Space (OTFS) modulation has been proposed to be the next-generation waveform. OTFS has the ability to manage extreme Doppler channels readily. Because of its resistance to high Doppler shifts, OTFS provides 3 to 7 dB performance gains in high mobility scenarios. The Neural networks (NN) model has the ability to perform multiple tasks at once. The artificial neural network (ANN) and deep neural network (DNN) models are the types of NN that work with less complexity. To the best of our knowledge, the analysis of OTFS using NN models has not been presented in the available literature. This paper presents the analysis of OTFS modulation combined with ANN and DNN models by which good bit error rate (BER) performance is observed. The OTFS results are compared with the Orthogonal Frequency Division Multiplexing (OFDM) modulation.