Deep learning for enhancing automatic classification of M-PSK and M-QAM waveform signals dedicated to single-relay cooperative MIMO 5G systems
- DOI
- 10.1038/s41598-025-10738-z
- Published
- 2025-07-18
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-10738-z,
title = {Deep learning for enhancing automatic classification of M-PSK and M-QAM waveform signals dedicated to single-relay cooperative MIMO 5G systems},
author = {Haithem Ben Chikha and Alaa Alaerjan and Randa Jabeur},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-10738-z},
url = {https://doi.org/10.1038/s41598-025-10738-z}
}RIS
TY - JOUR TI - Deep learning for enhancing automatic classification of M-PSK and M-QAM waveform signals dedicated to single-relay cooperative MIMO 5G systems AU - Haithem Ben Chikha AU - Alaa Alaerjan AU - Randa Jabeur PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-10738-z UR - https://doi.org/10.1038/s41598-025-10738-z ER -
APA
Chikha, H. B., Alaerjan, A., & Jabeur, R. (2025). Deep learning for enhancing automatic classification of M-PSK and M-QAM waveform signals dedicated to single-relay cooperative MIMO 5G systems. Scientific Reports. https://doi.org/10.1038/s41598-025-10738-z
Source records
- crossref · retrieved 2026-09-26T14:18:12.919Z