Automatic modulation recognition in two- way relaying channel with the presence of relay transceiver hardware impairments
| dc.contributor.author | Tayakout, Hakim | |
| dc.contributor.author | Bouchibane, Fatima Zohra | |
| dc.contributor.author | Boutellaa, Elhocine | |
| dc.contributor.author | Dayoub, Iyad | |
| dc.date.accessioned | 2023-05-07T12:35:12Z | |
| dc.date.available | 2023-05-07T12:35:12Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | 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 | en_US |
| dc.identifier.uri | DOI: https://doi.org/10.21203/rs.3.rs-2808363/v1 | |
| dc.identifier.uri | https://dspace.univ-boumerdes.dz/handle/123456789/11461 | |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Nature | en_US |
| dc.subject | Two-way relaying | en_US |
| dc.subject | Modulation recognition | en_US |
| dc.subject | Transceiver hardware Impairments | en_US |
| dc.subject | Dirty paper coding | en_US |
| dc.title | Automatic modulation recognition in two- way relaying channel with the presence of relay transceiver hardware impairments | en_US |
| dc.type | Article | en_US |
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