abdulkarimgizzini / enhancing_least_square_channel_estimation_using_deep_learning

This repository includes the source code of the LS-DNN based channel estimators proposed in "Enhancing Least Square Channel Estimation Using Deep Learning" paper that is published in the proceedings of the 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) virtual conference.

This repository includes the source code of the LS-DNN based channel estimators proposed in "Enhancing Least Square Channel Estimation Using Deep Learning" paper that is published in the proceedings of the 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) virtual conference. Please note that the Tx-Rx OFDM processing is implemented in Matlab (Matlab_Codes) and the LSTM processing is implemented in python (Keras) (Python_Codes).

Matlab_Codes

1. Main_Simulation: includes the implementation of the OFDM Rx-Tx communications, as well as the LS and LMMSE channel estimation schemes. it is used to generate datasets.

2. Channel_functions: includes different channel models definitions.

3. Estimation_functions: includes LS, MMSE, Rh_calculation, W_MMSE_calculation functions.

4. Process_Training_Data: Convert generated datasets from complex domain to real domain.

5. DNN_Results_Processing: use it to process the DNN results, just you need to choose which DNN model you want to show by setting the DNN_index variable. Forexample if DNN_index = 30, then the results for the tranied DNN model on SNR = 30dB will be shown.

Python_Codes

1. LS_DNN_Training: this file is used to train the LS_DNN model according to a specific SNR value, after that the trained LS_DNN is saved to be used later in the testing phase.

2. LS_DNN_Testing: this file is used to test the trained LS_DNN model perfromance on the whole datasets for all the whole SNR range.

enhancing_least_square_channel_estimation_using_deep_learning's Issues

The dataset for DNN training cannot generate normally

I just find the dataset required by the DNN for training is generated from "Process_Training_Data.m".

In "Process_Training_Data.m", it needs to load the original complex dataset ''Data\DNN_Dataset\HLS_''.

However, I cannot find the way to generate the dataset: ''Data\DNN_Dataset\HLS_''. And in "Main_simulation.m", there is no dataset output.

Sir, thank you for the code, however following error arises while running the code

Error using comm.RayleighChannel/step
Changing the complexity (from real to complex) on input 1 of System object comm.RayleighChannel is not allowed without first calling
the release() method.

Error in Channel_functions/ApplyChannel (line 62)
y = step(rchan, X(:));

Error in Main_Simulation (line 49)
[ h, y ] = ch_func.ApplyChannel( rchan, xp_cp, K_cp); - Show complete stack trace