Deep learning based NOMA in massive IoT network

Hello i have a thesis project Deep Learning based NOMA in massive IoT network. basically we need to generate random binary bits of 1024 length and do rate 1/2 convolution encoding and do the BPSK modulation and pass it through a noisy channel and decoding it with LSTM( long short term memory). We need to show the BER result for a multi user (two user) case and compare with the single user case. We need to get the output same as the applied input.