Title :

Unsupervised Log-Likelihood Ratio Estimation for Short Packets in Impulsive Noise

Author(s) :

Mestrah, Yasser [Auteur]
Institut d'Électronique et des Technologies du numéRique [IETR]
Institut National des Sciences Appliquées - Rennes [INSA Rennes]
Anade, Dadja [Auteur]
CITI Centre of Innovation in Telecommunications and Integration of services [CITI]
Savard, Anne [Auteur]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN ]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]
Goupil, Alban [Auteur]
Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 [CRESTIC]
Egan, Malcolm [Auteur]
Modèle et algorithmes pour des systèmes de communication fiables [MARACAS]
Mary, Philippe [Auteur]
Institut d'Électronique et des Technologies du numéRique [IETR]
Institut National des Sciences Appliquées - Rennes [INSA Rennes]
Gorce, Jean-Marie [Auteur]
Modèle et algorithmes pour des systèmes de communication fiables [MARACAS]
Clavier, Laurent [Auteur]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN ]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Ecole nationale supérieure Mines-Télécom Lille Douai [IMT Nord Europe]

Conference title :

IEEE Wireless Communications and Networking Conference (WCNC)

City :

Austin

Country :

Etats-Unis d'Amérique

Start date of the conference :

2022-04-10

Publisher :

IEEE

HAL domain(s) :

Informatique [cs]/Théorie de l'information [cs.IT]

English abstract : [en]

lmpulsive noise, where large amplitudes arise with a relatively high probability, arises in many communication systems including interference in Low Power Wide Area Networks. A challenge in coping with impulsive noise, ...
Show more >lmpulsive noise, where large amplitudes arise with a relatively high probability, arises in many communication systems including interference in Low Power Wide Area Networks. A challenge in coping with impulsive noise, particularly alpha­stable models, is that tractable expressions for the log-likelihood ratio (LLR) are not available, which bas a large impact on soft­input decoding schemes, e.g., low-density parity-check (LDPC) packets. On the other band, constraints on packet length also mean that pilot signais are not available resulting in non­trivial approximation and parameter estimation problems for the LLR. In this paper, a new unsupervised parameter estimation algorithm is proposed for LLR approximation. In terms of the frame error rate (FER), this algorithm is shown to significantly outperform existing unsupervised estimation methods for short LDPC packets (on the order of 500 symbols), with nearly the same performance as when the parameters are perfectly known. The performance is also compared with an upper bound on the information-theoretic limit for the FER, which suggests that in impulsive noise further improvements require the use of an alternative code structure other than LDPC.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

ANR Project :

Régions atteignables des communications sans fil multi-utilisateurs intermittentes

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL