Generalized sparse codes for non-Gaussian channels: Code design, algorithms, and applications

[Display omitted] In this paper, generalized sparse (GS) codes are proposed to support reliable and efficient transmission over non-Gaussian channels. Specifically, by expanding the single-parity check (SPC) code constraints with powerful algebraic codes, GS codes generalize conventional sparse code...

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Published inFundamental research (Beijing) Vol. 2; no. 2; pp. 284 - 295
Main Authors Chen, Zhao, Sun, Zhen, Pei, Yukui, Yin, Liuguo
Format Journal Article
LanguageEnglish
Published China Elsevier B.V 01.03.2022
KeAi Publishing
KeAi Communications Co. Ltd
Subjects
EXIT Chart analysis
Generalized sparse codes
Low-density BCH codes
Low-density parity-check codes
Non-Gaussian channels
Generalized sparse codes
Non-Gaussian channels
Low-density parity-check codes
Low-density BCH codes
EXIT Chart analysis
Online AccessGet full text
ISSN2667-3258
2096-9457
2667-3258
DOI10.1016/j.fmre.2021.12.006

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Abstract [Display omitted] In this paper, generalized sparse (GS) codes are proposed to support reliable and efficient transmission over non-Gaussian channels. Specifically, by expanding the single-parity check (SPC) code constraints with powerful algebraic codes, GS codes generalize conventional sparse codes with enhanced error-correcting capability, as well as better code design flexibility by covering a wide range of block-lengths and coding rates with reduced encoding/decoding complexity. Moreover, by introducing a universal communication channel model, a general framework for performance analysis and code design of GS codes is formulated, by which the coding parameters can be optimized for different target channel conditions. Finally, example codes are constructed for several critical application scenarios with non-Gaussian channels. Numerical simulations are performed to demonstrate the superiority of the proposed GS coding scheme to traditional channel coding schemes.
AbstractList In this paper, generalized sparse (GS) codes are proposed to support reliable and efficient transmission over non-Gaussian channels. Specifically, by expanding the single-parity check (SPC) code constraints with powerful algebraic codes, GS codes generalize conventional sparse codes with enhanced error-correcting capability, as well as better code design flexibility by covering a wide range of block-lengths and coding rates with reduced encoding/decoding complexity. Moreover, by introducing a universal communication channel model, a general framework for performance analysis and code design of GS codes is formulated, by which the coding parameters can be optimized for different target channel conditions. Finally, example codes are constructed for several critical application scenarios with non-Gaussian channels. Numerical simulations are performed to demonstrate the superiority of the proposed GS coding scheme to traditional channel coding schemes.
[Display omitted] In this paper, generalized sparse (GS) codes are proposed to support reliable and efficient transmission over non-Gaussian channels. Specifically, by expanding the single-parity check (SPC) code constraints with powerful algebraic codes, GS codes generalize conventional sparse codes with enhanced error-correcting capability, as well as better code design flexibility by covering a wide range of block-lengths and coding rates with reduced encoding/decoding complexity. Moreover, by introducing a universal communication channel model, a general framework for performance analysis and code design of GS codes is formulated, by which the coding parameters can be optimized for different target channel conditions. Finally, example codes are constructed for several critical application scenarios with non-Gaussian channels. Numerical simulations are performed to demonstrate the superiority of the proposed GS coding scheme to traditional channel coding schemes.
In this paper, generalized sparse (GS) codes are proposed to support reliable and efficient transmission over non-Gaussian channels. Specifically, by expanding the single-parity check (SPC) code constraints with powerful algebraic codes, GS codes generalize conventional sparse codes with enhanced error-correcting capability, as well as better code design flexibility by covering a wide range of block-lengths and coding rates with reduced encoding/decoding complexity. Moreover, by introducing a universal communication channel model, a general framework for performance analysis and code design of GS codes is formulated, by which the coding parameters can be optimized for different target channel conditions. Finally, example codes are constructed for several critical application scenarios with non-Gaussian channels. Numerical simulations are performed to demonstrate the superiority of the proposed GS coding scheme to traditional channel coding schemes.In this paper, generalized sparse (GS) codes are proposed to support reliable and efficient transmission over non-Gaussian channels. Specifically, by expanding the single-parity check (SPC) code constraints with powerful algebraic codes, GS codes generalize conventional sparse codes with enhanced error-correcting capability, as well as better code design flexibility by covering a wide range of block-lengths and coding rates with reduced encoding/decoding complexity. Moreover, by introducing a universal communication channel model, a general framework for performance analysis and code design of GS codes is formulated, by which the coding parameters can be optimized for different target channel conditions. Finally, example codes are constructed for several critical application scenarios with non-Gaussian channels. Numerical simulations are performed to demonstrate the superiority of the proposed GS coding scheme to traditional channel coding schemes.
Author Yin, Liuguo
Chen, Zhao
Pei, Yukui
Sun, Zhen
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Issue 2
Keywords Generalized sparse codes
Non-Gaussian channels
Low-density parity-check codes
Low-density BCH codes
EXIT Chart analysis
Language English
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Snippet [Display omitted] In this paper, generalized sparse (GS) codes are proposed to support reliable and efficient transmission over non-Gaussian channels....
In this paper, generalized sparse (GS) codes are proposed to support reliable and efficient transmission over non-Gaussian channels. Specifically, by expanding...
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SubjectTerms EXIT Chart analysis
Generalized sparse codes
Low-density BCH codes
Low-density parity-check codes
Non-Gaussian channels
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Title Generalized sparse codes for non-Gaussian channels: Code design, algorithms, and applications
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