DocumentCode :
2947097
Title :
LDPC code optimization based on Tanner graph mutations
Author :
Broulim, Jan ; Georgiev, Vjaceslav ; Moldaschl, Jan ; Palocko, Lukas
Author_Institution :
Fac. of Electr. Eng., Univ. of West Bohemia, Pilsen, Czech Republic
fYear :
2013
fDate :
26-28 Nov. 2013
Firstpage :
389
Lastpage :
392
Abstract :
The paper presents LDPC error correcting code optimization based on Tanner graph mutations. A statistical experiment focused on a heuristic LDPC code construction was performed with the genetic algorithm. The algorithm used is briefly described. Short wordlength LDPC code optimization was simulated. Results of these simulations are summarized in this paper.
Keywords :
error correction codes; genetic algorithms; graph theory; parity check codes; statistical analysis; Tanner graph mutations; error correcting code; genetic algorithm; heuristic LDPC code construction; short wordlength LDPC code optimization; statistical experiment; Algorithm design and analysis; Bit error rate; Error correction codes; Genetic algorithms; Next generation networking; Optimization; Parity check codes; FEC; LDPC; genetic optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications Forum (TELFOR), 2013 21st
Conference_Location :
Belgrade
Print_ISBN :
978-1-4799-1419-7
Type :
conf
DOI :
10.1109/TELFOR.2013.6716251
Filename :
6716251
Link To Document :
بازگشت