shwetakirantotla/nbiot_nprach_uad

NPRACH UAD Neural Network implementation in Fixed point C.

NPRACH NBIoT UAD Fixed Point Implemetation

Narrowband Physical Random Access CHannel (NPRACH) Narrowband Internet of Things (NBIoT) User Activity Detection (UAD) Receiver Neural Network implementation in Fixed point C.

Source File Descriptions

Command

gcc command to run the NN.

DL NPRACH Head

Header file for the neural network

Activations

This file contains all the activation functions like relu, sigmoid, etc.

Load Data

File to load all the data required for NN implementation. l1_result contains the python output for layer 1 of the NN. Weights and RxData have the weights of layer 1 and input data of 1 subcarrier respectively.

DL Functions

This file contains deep learning functions used in this neural network including Batch Normalization, 1D Convolution, etc.

UAD PRM0 CVA12

This file implements the neural network layer for User Activity Detection for Premable 0, Coverage Area 1.

Mat Operations

Contains (fixed point) matrix operations like multiplication, addition, etc.

Util

Ultility functions: transpose, multiplication, division and square root operations.