Tayakout, HakimBouchibane, Fatima ZohraBoutellaa, ElhocineDayoub, Iyad2023-05-072023-05-072023DOI: https://doi.org/10.21203/rs.3.rs-2808363/v1https://dspace.univ-boumerdes.dz/handle/123456789/11461Modulation 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 beenenTwo-way relayingModulation recognitionTransceiver hardware ImpairmentsDirty paper codingArticle