Moderate-density parity-check codes from projective bundles.

Projective plane FOS: Computer and information sciences Projective bundle Computer Science - Information Theory bit-flipping decoding algorithm. 02 engineering and technology 0102 computer and information sciences 01 natural sciences Article 510 Mathematics 2604 Applied Mathematics Bit-flipping decoding algorithm 1706 Computer Science Applications 0202 electrical engineering, electronic engineering, information engineering FOS: Mathematics Mathematics - Combinatorics 11T71, 51E05 2614 Theoretical Computer Science flipping decoding algorithm Applied Mathematics Information Theory (cs.IT) Computer Science Applications 10123 Institute of Mathematics 2607 Discrete Mathematics and Combinatorics Bit-flipping decoding algorithm; MDPC codes; Projective bundle; Projective plane MDPC codes Combinatorics (math.CO) MDPC codes · Projective bundle · Projective plane · Bit
DOI: 10.5167/uzh-219471 Publication Date: 2022-05-24
ABSTRACT
AbstractNew constructions for moderate-density parity-check (MDPC) codes using finite geometry are proposed. We design a parity-check matrix for the main family of binary codes as the concatenation of two matrices: the incidence matrix between points and lines of the Desarguesian projective plane and the incidence matrix between points and ovals of a projective bundle. A projective bundle is a special collection of ovals which pairwise meet in a unique point. We determine the minimum distance and the dimension of these codes, and we show that they have a natural quasi-cyclic structure. We consider alternative constructions based on an incidence matrix of a Desarguesian projective plane and compare their error-correction performance with regards to a modification of Gallager’s bit-flipping decoding algorithm. In this setting, our codes have the best possible error-correction performance after one round of bit-flipping decoding given the parameters of the code’s parity-check matrix.
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