Low-Complexity Soft-Output Decoding of Polar Codes

The state-of-the-art soft-output decoder for polar codes is a message-passing algorithm based on belief propagation, which performs well at the cost of high processing and storage requirements. In this paper, we propose a low-complexity alternative for soft-output decoding of polar codes that offers...

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Vydáno v:IEEE journal on selected areas in communications Ročník 32; číslo 5; s. 958 - 966
Hlavní autoři: Fayyaz, Ubaid U., Barry, John R.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.05.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Belief propagation
Blocking
Channels
Complexity
Complexity theory
Decoders
Decoding
Iterative decoding
Memory management
Polar codes
Receivers
soft-output decoding
State of the art
turbo equalization
ISSN:0733-8716, 1558-0008
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Shrnutí:The state-of-the-art soft-output decoder for polar codes is a message-passing algorithm based on belief propagation, which performs well at the cost of high processing and storage requirements. In this paper, we propose a low-complexity alternative for soft-output decoding of polar codes that offers better performance but with significantly reduced processing and storage requirements. In particular we show that the complexity of the proposed decoder is only 4% of the total complexity of the belief propagation decoder for a rate one-half polar code of dimension 4096 in the dicode channel, while achieving comparable error-rate performance. Furthermore, we show that the proposed decoder requires about 39% of the memory required by the belief propagation decoder for a block length of 32768.
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ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2014.140515