LDPC Codes for Quantitative Group Testing With a Non-Binary Alphabet

We propose and analyze a novel scheme based on LDPC codes for quantitative group testing. The key underlying idea is to augment the bipartite graph by introducing hidden non-binary variables to strengthen the message-passing decoder. This is achieved by grouping items into bundles of size q within the test matrix, while keeping the testing procedure unaffected. The decoder, inspired by some works on counter braids, passes lower and upper bounds on the bundle values along the edges of the graph, with the gap between the two shrinking with the decoder iterations. Through a density evolution (DE) analysis and finite length simulations, we show that the proposed scheme significantly outperforms its binary counterpart with limited increase in complexity.

Authors

Institutions

Publication Details

Journal
IEEE Communications Letters
Published
2025-02-04
DOI
https://doi.org/10.1109/lcomm.2025.3538910
Primary Topic
SARS-CoV-2 detection and testing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LDPC Codes for Quantitative Group Testing With a Non-Binary Alphabet

Mgeni Makambi Mashauri, Alexandre Graell i Amat, Michael Lentmaier
IEEE Communications Letters
SARS-CoV-2 detection and testing
article

LDPC Codes for Quantitative Group Testing With a Non-Binary Alphabet

Mgeni Makambi Mashauri, Alexandre Graell i Amat, Michael Lentmaier
article en

Abstract

We propose and analyze a novel scheme based on LDPC codes for quantitative group testing. The key underlying idea is to augment the bipartite graph by introducing hidden non-binary variables to strengthen the message-passing decoder. This is achieved by grouping items into bundles of size q within the test matrix, while keeping the testing procedure unaffected. The decoder, inspired by some works on counter braids, passes lower and upper bounds on the bundle values along the edges of the graph, with the gap between the two shrinking with the decoder iterations. Through a density evolution (DE) analysis and finite length simulations, we show that the proposed scheme significantly outperforms its binary counterpart with limited increase in complexity.

IEEE Communications LettersVol. 29(3)
Lund University (SE), Chalmers University of Technology (SE)
Openalex Percentile: Top 96%
SARS-CoV-2 detection and testing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.