SC of polar codes based normalized MS algorithm

In this paper, the principle of normalized minimum-sum (NMS) polar decoding process is explored. It is demonstrated that with one properly chosen parameters for NMS algorithm, performances approach to that of the sum-product (SP) algorithm can be achieved. As well, the complexity reduction is realiz...

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Published in2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) pp. 111 - 116
Main Authors Hasan, Alaa A., Marsland, Ian D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
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DOI10.1109/IEMCON.2017.8117164

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Abstract In this paper, the principle of normalized minimum-sum (NMS) polar decoding process is explored. It is demonstrated that with one properly chosen parameters for NMS algorithm, performances approach to that of the sum-product (SP) algorithm can be achieved. As well, the complexity reduction is realized by calculating a linear function instead of nonlinear function. Simulation results for successive cancellation (SC) polar codes with code length moderately long validate the proposed approximation.
AbstractList In this paper, the principle of normalized minimum-sum (NMS) polar decoding process is explored. It is demonstrated that with one properly chosen parameters for NMS algorithm, performances approach to that of the sum-product (SP) algorithm can be achieved. As well, the complexity reduction is realized by calculating a linear function instead of nonlinear function. Simulation results for successive cancellation (SC) polar codes with code length moderately long validate the proposed approximation.
Author Marsland, Ian D.
Hasan, Alaa A.
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  givenname: Ian D.
  surname: Marsland
  fullname: Marsland, Ian D.
  email: ianm@sce.carleton.ca
  organization: Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
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Snippet In this paper, the principle of normalized minimum-sum (NMS) polar decoding process is explored. It is demonstrated that with one properly chosen parameters...
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StartPage 111
SubjectTerms Approximation algorithms
Complexity theory
correction factor
Decoding
Encoding
Hardware
normalized minimum-sum
Polar codes
Probability density function
Simulation
Title SC of polar codes based normalized MS algorithm
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