A deep learning based soft interference cancellation symbol detector, based on the paper:
N. Shlezinger, R. Fu, and Y. C. Eldar.
“DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection”.
arXiv preprint, arXiv:2002.03214, 2020.
The implementation of DeepSIC consists of two functions:
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GetDeepSICNet - generate and train DeepSIC MIMO detector. Training is carried out in a sequential manner (see Sequential Training in the above reference).
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s_fDetDeepSIC - use trained model to detect symbols, returns BER.
A code example for evaluating ViterbiNet can be found in the script DeepSIC_Test1.m.
This code requires Matlab with deep learning toolbox. The results reported in the paper were simulated using Matlab 2018b.