Rapport Année : 2025

AI4CODE Technical Report - Deliverable D2.2

Résumé

This report discusses the learning-based code design methods proposed to address the limitations identified in D2.1, their evaluation, and the analysis of the learning outputs. It encompasses the research work carried out in Tasks 2.2 and 2.3 of the Work Package 2 (WP2) by the project's partners. WP2 aims to investigate how learning techniques can help come up with new code design paradigms or discover new code constructions, with application to selected communication scenarios that impose challenges on FEC code design that are not fully met with existing methods.

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Dates et versions

hal-05333771 , version 1 (09-12-2025)

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  • HAL Id : hal-05333771 , version 1

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Charbel Abdel Nour, Stefan Weithoffer, Mathieu Leonardon, Christophe Jego, Camille Leroux, et al.. AI4CODE Technical Report - Deliverable D2.2. IMT ATLANTIQUE. 2025. ⟨hal-05333771⟩
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