Bayesian Optimization for Finite Alphabet Message Passing Decoders

Bayesian optimization for non-unrolled iterative min-RCQ decoders with shared parameters.

The code will be published upon acceptance.

This repo provides the codebase and results for [1]

[1] Alexander von Bank, Oliver Griebel, Eike-Manuel Edelmann, Norbert Wehn, and Laurent Schmalen, "Optimization of Finite Alphabet Message Passing Decoders on Sequential Architectures for 5G LDPC Codes," Proc. - IEEE Glob. Commun. Conf. GLOBECOM , 7-11 December 2026

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This work has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No. 101001899).