AdaptGNN: A self-supervised graph neural network with test-time adaptation for robust multiuser detection in MC-CDMA systems
Authors
Ridha Ilyas Bendjillali
Laboratory of Electronic Systems, Telecommunications and Renewable Energies, Department of Electrical Engineering, University Center Nour Bachir, El Bayadh, Algeria
Mohammed Rida Lahcene
Laboratory of Electronic Systems, Telecommunications and Renewable Energies, Department of Electrical Engineering, University Center Nour Bachir, El Bayadh, Algeria
Mohammed Sofiane Bendelhoum
Laboratory of Electronic Systems, Telecommunications and Renewable Energies, Department of Electrical Engineering, University Center Nour Bachir, El Bayadh, Algeria
Asma Ouardas
Laboratory of Electronic Systems, Telecommunications and Renewable Energies, Department of Electrical Engineering, University Center Nour Bachir, El Bayadh, Algeria
Miloud Kamline
Laboratory of Electronic Systems, Telecommunications and Renewable Energies, Department of Electrical Engineering, University Center Nour Bachir, El Bayadh, Algeria
Fadila Amel Miloudi
Laboratory of Electronic Systems, Telecommunications and Renewable Energies, Department of Electrical Engineering, University Center Nour Bachir, El Bayadh, Algeria
Language: English
Page range: 170 - 182
Submitted on: Jan 21, 2026
Published on: Apr 18, 2026
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
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© 2026 Ridha Ilyas Bendjillali, Mohammed Rida Lahcene, Mohammed Sofiane Bendelhoum, Asma Ouardas, Miloud Kamline, Fadila Amel Miloudi, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.