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Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11461

Titre: Automatic modulation recognition in two- way relaying channel with the presence of relay transceiver hardware impairments
Auteur(s): Tayakout, Hakim
Bouchibane, Fatima Zohra
Boutellaa, Elhocine
Dayoub, Iyad
Mots-clés: Two-way relaying
Modulation recognition
Transceiver hardware Impairments
Dirty paper coding
Date de publication: 2023
Editeur: Springer Nature
Résumé: Modulation recognition (MR) is well-known as one of the enabling tools, which aims to further afford efficient and secure communica- tions in cognitive radio (CR) context for 5G and beyond networks. In this Paper, we propose a robust MR approach designed for two-way MIMO cooperative relaying network by specifically taking into account two crucial constraints: hardware impairments at relay transceiver and co-channel interference. To mitigate the effect of these impairments, feature-based artificial neural network (ANN) recognizer combined with a nonlinear design of the relay processing matrix with dirty paper cod- ing (DPC) is investigated in this work. Simulations using two receive criterions, namely DPC-ZF and DPC-MMSE, have been carried out to validate the effectiveness of the proposed approach. It has been
URI/URL: DOI: https://doi.org/10.21203/rs.3.rs-2808363/v1
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11461
Collection(s) :Publications Internationales

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