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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Veröffentlicht in:IEEE journal on selected areas in communications Jg. 32; H. 5; S. 958 - 966
Hauptverfasser: Fayyaz, Ubaid U., Barry, John R.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.05.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:0733-8716, 1558-0008
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Abstract 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.
AbstractList 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.
Author Fayyaz, Ubaid U.
Barry, John R.
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  givenname: John R.
  surname: Barry
  fullname: Barry, John R.
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  organization: Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
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Snippet 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...
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SubjectTerms 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
Title Low-Complexity Soft-Output Decoding of Polar Codes
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