DocumentCode :
1245007
Title :
Stopping set distribution of LDPC code ensembles
Author :
Orlitsky, Alon ; Viswanathan, Krishnamurthy ; Zhang, Junan
Author_Institution :
Dept. of Electr., Univ. of California, La Jolla, CA, USA
Volume :
51
Issue :
3
fYear :
2005
fDate :
3/1/2005 12:00:00 AM
Firstpage :
929
Lastpage :
953
Abstract :
Stopping sets determine the performance of low-density parity-check (LDPC) codes under iterative decoding over erasure channels. We derive several results on the asymptotic behavior of stopping sets in Tanner-graph ensembles, including the following. An expression for the normalized average stopping set distribution, yielding, in particular, a critical fraction of the block length above which codes have exponentially many stopping sets of that size. A relation between the degree distribution and the likely size of the smallest nonempty stopping set, showing that for a √1-λ´(0)ρ´(1) fraction of codes with λ´(0)ρ´(1)<1, and in particular for almost all codes with smallest variable degree >2, the smallest nonempty stopping set is linear in the block length. Bounds on the average block error probability as a function of the erasure probability ε, showing in particular that for codes with lowest variable degree 2, if ε is below a certain threshold, the asymptotic average block error probability is 1-√1-λ´(0)ρ´(1)ε.
Keywords :
block codes; error statistics; graph theory; iterative decoding; parity check codes; probability; LDPC code ensemble; Tanner-graph ensemble; asymptotic behavior; block error probability; degree distribution; erasure channel; erasure probability; iterative decoding; low-density parity-check code; stopping set distribution; variable degree; Algorithm design and analysis; Computer errors; Computer science; Error probability; H infinity control; Information theory; Iterative algorithms; Iterative decoding; Parity check codes; Binary erasure channel (BEC); block error probability; growth rate; low-density parity-check (LDPC) codes; minimum distance; stopping set;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2004.842571
Filename :
1397932
Link To Document :
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