Deep Neural Network Based Decoding of Short 5G LDPC Codes

2021 XVII International Symposium "Problems of Redundancy in Information and Control Systems" (REDUNDANCY)(2021)

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摘要
We investigate the application of machine learning techniques (in particular, deep neural networks, DNN) to improve the decoding algorithms of short quasi-cyclic low-density paritycheck (LDPC) codes adopted to the 5G standard. We note that straightforward application of general-purpose DNNs is not possible due to the curse of dimensionality problem – the training set size grows exponentially with ...
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