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Neural Successive Cancellation List Decoding of Polar Codes

2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, 2020
Neural Network Decoders (NNDs) have been recently considered and investigated as an alternative to the classical algorithms for decoding Polar Codes. In particular, a class of partitioned decoders has been proposed where modified Successive Cancellation (SC) or Belief Propagation (BP) algorithms exploit the neural network decoding of short sublocks ...
Negrini S., Tralli V.
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Successive Cancellation List Decoder with Adaptive List Length

2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), 2019
Successive cancellation list decoder, which is generalized from successive cancellation decoder by increasing list size, is an effective decoding algorithm for polar codes. However, the list length is invariant throughout the decoding process which leads to redundant computation.
Jiajie Tang, Ming Chen
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Bounds on the List Size of Successive Cancellation List Decoding

2020 International Conference on Signal Processing and Communications (SPCOM), 2020
Successive cancellation list decoding of polar codes provides very good performance for short to moderate block lengths. However, the list size required to approach the performance of maximum-likelihood decoding is still not well understood theoretically.
Mustafa Cemil Coskun, Henry D. Pfister
openaire   +1 more source

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