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CSI-aided Robust Neural-based Decoders

Benammar, Meryem and Dadalto-Camara-Gomes, Eduardo and Piantanida, Pablo CSI-aided Robust Neural-based Decoders. (2021) In: 11th International Symposium on Topics in Coding, 30 August 2021 - 3 September 2021 (Montréal, Canada).

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Official URL: https://doi.org/10.1109/ISTC49272.2021.9594117

Abstract

In this work, we investigate the design of neural based channel decoders for the Binary Asymmetric Channel (BAC), which exhibits robustness issues related to training/testing channel parameters mismatch. Rather than enforcing the independence of the trained model to the channel parameter as in our previous work, we show that providing even a coarse (possibly imperfect) quantized CSI to the decoder, allows to build a single robust neural decoder for all values of channel parameters.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to the IEEE (Institute of Electrical and Electronics Engineers). This paper is available at : https://ieeexplore.ieee.org/document/9594117 “© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-03522702
Audience (conference):International conference proceedings
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Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > CentraleSupélec (FRANCE)
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Deposited On:12 Jan 2022 10:34

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