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channel_estimation_cgan's Issues

Code for NMSE plots

Hi, thanks for the wonderful work.
I was able to train the GAN for different SNR and get the estimated channel through the code provided.
But, the NMSE is almost same irrespective of the SNR.
Can you please provide the code for plotting the NMSE curves as shown in the research paper.

Waiting for the reply.

COde giving cocate error for other dataset

I tried to run the code for other datasets generated using MIMO Data generator.
I generated for 16 antennas and 8 users, but the python main.py code showing the error
InvalidArgumentError: ConcatOp : Dimensions of inputs should match: shape[0] = [1,2,2,512] vs. shape[1] = [1,1,2,512] [Op:ConcatV2] name: concat

It is not working for any other dataset. please help me this regard

why NMSE approaches 5?

Hi,
using your code, there is a problem,
I wonder why NMSE approaches 5?
SNR_0_pilot_8
Looking forward to your early reply

I1_2p4.params.mat

Can any of you download the I1_2p4.zip file from Google Cloud Drive?

Please add source code for reference

Hi @YudiDong ,
I'm referencing your article, and in the source code you shared I only see cGAN.
In the paper, I see more techniques CNN, MLP and EM-GM-GAMP. I don't know if those code sources are public or not, if the code is public can I ask for the source code for reference.
Thanks!

The code does not figure the figures of the research paper

Please sir,
I tried to run your code to reproduce your paper figure of SNR Vs NMSE. But the generated curve does not reflect the curve in the paper !!
please can you kindly provide the correct code that reproduces correctly your research paper figures?
Thanks in advance.

Dose the ฯ† included in the CGAN training process?

I found that the prediction of the generator only depends on the input image, but where is the pilot ฯ†?
CGAN means contional GAN, but I can not find the condition. I wonder which codes show the condition?
Thanks.

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