Deep Learning-Based Sphere Decoding

IEEE Transactions on Wireless Communications, pp. 4368-4378, 2019.

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Keywords:
LatticesMaximum likelihood decodingMIMO communicationDeep learningComputational complexity

Abstract:

In this paper, a deep learning (DL)-based sphere decoding algorithm is proposed, where the radius of the decoding hypersphere is learned by a deep neural network (DNN). The performance achieved by the proposed algorithm is very close to the optimal maximum likelihood decoding (MLD) over a wide range of signal-to-noise ratios (SNRs), while...More

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