Systematic Physical-Layer Raptor Coding to Attain Low Decoding Complexity

We study physical-layer raptor (PLR) coding for message blocks of moderate lengths to achieve low decoding complexity with only a slight degradation in throughput. Approaches include systematic PLR code construction, convergence analysis, and an early termination strategy that is only appropriate fo...

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Vydané v:IEEE communications letters Ročník 22; číslo 6; s. 1124 - 1127
Hlavní autori: Li, Guan-Ting, Wu, Hsuan-Kuan, Lee, Huang-Chang, Wang, Hui-Ming, Lin, Mao-Chao
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 01.06.2018
Predmet:
complexity
Complexity theory
Convergence
Decoding
Iterative decoding
LDPC code
LT code
Raptor code
Systematics
Throughput
ISSN:1089-7798
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Abstract We study physical-layer raptor (PLR) coding for message blocks of moderate lengths to achieve low decoding complexity with only a slight degradation in throughput. Approaches include systematic PLR code construction, convergence analysis, and an early termination strategy that is only appropriate for the systematic PLR code.
AbstractList We study physical-layer raptor (PLR) coding for message blocks of moderate lengths to achieve low decoding complexity with only a slight degradation in throughput. Approaches include systematic PLR code construction, convergence analysis, and an early termination strategy that is only appropriate for the systematic PLR code.
Author Hsuan-Kuan Wu
Hui-Ming Wang
Mao-Chao Lin
Huang-Chang Lee
Guan-Ting Li
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StartPage 1124
SubjectTerms complexity
Complexity theory
Convergence
Decoding
Iterative decoding
LDPC code
LT code
Raptor code
Systematics
Throughput
Title Systematic Physical-Layer Raptor Coding to Attain Low Decoding Complexity
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