Iterative Algebraic Decoding of Codes Defined on Graphs
Tang, Xiangyu
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https://hdl.handle.net/2142/81121
Description
Title
Iterative Algebraic Decoding of Codes Defined on Graphs
Author(s)
Tang, Xiangyu
Issue Date
2008
Doctoral Committee Chair(s)
Ralf Koetter
Department of Study
Electrical and Computer Engineering
Discipline
Electrical and Computer Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Language
eng
Abstract
Furthermore, we propose novel error correction coding schemes, called Generalized Integrated Interleaving and Sparsely Integrated Interleaving codes. In the context of block interleaved codewords, Generalized Integrated Interleaving allows nonuniform redundancy to be shared among all the interleaves. This allows the redundancy to be adjusted on-the-fly to better suit the error statistics of the channel or storage device. Sparsely Integrated Interleaving groups data nodes in a distributed storage system into subgroups. A data node can belong to several subgroups. A localized algebraic iterative decoding algorithm is used to decode across subgroups to correct large errors. Very little correction capability is sacrificed to achieve fast error correction and lower communication overhead. This scheme improves data access for all the data nodes and allows easy scaling of the distributed storage network.
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