Rapport (Rapport Contrat/Projet) Année : 2023

AI4CODE Technical Report - Deliverable D2.1

Résumé

This deliverable reports on the activities carried out within the Task 2.1 of Work Package 2 (WP2). WP2 aims at investigating 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. Accordingly, the deliverable first discusses the opportunities and challenges for a learning-based approach to channel code design. A review of the current state-of-the-art then follows. Areas for potential improvements are identified for each of the major code families in use in current standards, and will serve as a starting point for the forthcoming studies.

Fichier principal
Vignette du fichier
AI4CODE_WP2_Livrable_D2_1_final.pdf (466.38 Ko) Télécharger le fichier

Dates et versions

hal-05333751 , version 1 (27-10-2025)

Licence

Identifiants

  • HAL Id : hal-05333751 , version 1

Citer

Raphaël Le Bidan, Charbel Abdel Nour, Elsa Dupraz, Mathieu Leonardon, Catherine Douillard, et al.. AI4CODE Technical Report - Deliverable D2.1. IMT ATLANTIQUE. 2023. ⟨hal-05333751⟩
108 Consultations
149 Téléchargements

Partager

  • More