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We propose MMNet, a deep learning MIMO detection scheme that significantly outperforms existing approaches on realistic channels with the same or lower computational complexity. MMNet?s design builds on the theory of iterative soft-thresholding algorithms
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Exploiting Channel Locality For Adaptive Massive Mimo Signal Detection
We propose MMNet, a deep learning MIMO detection scheme that significantly outperforms existing approaches on realistic channels with the same or lower computational complexity. MMNet?s design builds on the theory of iterative soft-thresholding algorithms