Deep Neural Network Based Decoding of Short 5G LDPC Codes
2021 XVII International Symposium "Problems of Redundancy in Information and Control Systems" (REDUNDANCY)(2021)
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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