Ali Hasanzadeh Karkan, Ahmed Ibrahim, Jean-François Frigon
and François Leduc-Primeau
Paper (2025)
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| Department: | Department of Electrical Engineering |
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| Funders: | Ericsson, NSERC |
| Grant number: | 566589-21 (Ericsson, ECCC, InnovÉÉ) |
| ISBN: | 9798331520427 |
| PolyPublie URL: | https://publications.polymtl.ca/68303/ |
| Conference Title: | International Conference on Machine Learning for Communication and Networking (ICMLCN 2025) |
| Conference Location: | Barcelona, Spain |
| Conference Date(s): | 2025-05-26 - 2025-05-29 |
| Publisher: | Institute of Electrical and Electronics Engineers |
| DOI: | 10.1109/icmlcn64995.2025.11140513 |
| Official URL: | https://doi.org/10.1109/icmlcn64995.2025.11140513 |
| Date Deposited: | 08 Sep 2025 11:40 |
| Last Modified: | 08 Sep 2025 11:40 |
| Cite in APA 7: | Hasanzadeh Karkan, A., Ibrahim, A., Frigon, J.-F., & Leduc-Primeau, F. (2025, May). A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites [Paper]. International Conference on Machine Learning for Communication and Networking (ICMLCN 2025), Barcelona, Spain. https://doi.org/10.1109/icmlcn64995.2025.11140513 |
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