Neural-Network-Assisted Polar Code Decoding Schemes

نویسندگان

چکیده

The traditional fast successive-cancellation (SC) decoding algorithm can effectively reduce the steps, but adopts a sub-optimal algorithm, so it cannot improve bit error performance. In order to performance while maintaining low we introduce neural network subcode that achieve optimal and combine with SC algorithm. While exploring how node (NNN) R1, R0, single-parity checks (SPC), Rep, find failed sometimes when NNN was not last subcode. To solve problem, propose two network-assisted schemes: key-bit-based NN-assisted (KSNNAD) scheme (LSNNAD) scheme. LSNNAD recognizes as an NNN, nearly gives rise some improvements. further performance, KSNNAD key changes training data label accordingly. Computer simulation results confirm schemes their rates (BERs) are lower than those of decoder (SCD).

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ژورنال

عنوان ژورنال: Applied sciences

سال: 2022

ISSN: ['2076-3417']

DOI: https://doi.org/10.3390/app122412700