Deep Learning-Based Sphere Decoding
IEEE Transactions on Wireless Communications, pp. 4368-4378, 2019.
LatticesMaximum likelihood decodingMIMO communicationDeep learningComputational complexity
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
Full Text (Upload PDF)
PPT (Upload PPT)