Optimization of Nested Array-based LDPC Codes Via Spatial Coupling

Document Type

Conference Proceeding

Publication Date

8-1-2019

Abstract

Linear nested codes, where two or more subcodes are nested in a global code, have been proposed as candidates for reliable multi-terminal communication. In this paper, we consider nested array-based spatially coupled LDPC codes and propose a line-counting based optimization scheme for minimizing the number of dominant absorbing sets in order to improve its performance in the high signal-to-noise ratio regime. The presented multi-step optimization process is applied first to one of the nested codes, then an optimization of the remaining nested codes is carried out based on these code constraints. We also show that for certain code parameters, dominant absorbing sets in the Tanner graphs of all nested codes can be completely removed using our proposed optimization strategy.

Identifier

85081107409 (Scopus)

ISBN

[9781538669006]

Publication Title

2019 IEEE Information Theory Workshop Itw 2019

External Full Text Location

https://doi.org/10.1109/ITW44776.2019.8989313

Grant

1710920

Fund Ref

National Science Foundation

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