DeepSIC learns to detect multiple symbols in MIMO systems without assuming a specific channel model.
problem Challenges in multiuser MIMO detection due to non-linear channels and lack of accurate channel state information.
method Integrates machine learning into iterative soft interference cancellation (SIC) algorithm to learn from limited training samples.
result Significantly outperforms conventional methods in linear and non-linear channels, even with CSI uncertainty.