Hamed Hojatian, Jérémy Nadal, Jean-François Frigon
and François Leduc-Primeau
Paper (2022)
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| Department: | Department of Electrical Engineering |
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| ISBN: | 9781665435406 |
| PolyPublie URL: | https://publications.polymtl.ca/52756/ |
| Conference Title: | IEEE Global Communications Conference (GLOBECOM 2022) |
| Conference Location: | Rio de Janeiro, Brazil |
| Conference Date(s): | 2022-12-04 - 2022-12-08 |
| Publisher: | IEEE |
| DOI: | 10.1109/globecom48099.2022.10001155 |
| Official URL: | https://doi.org/10.1109/globecom48099.2022.1000115... |
| Date Deposited: | 18 Apr 2023 14:58 |
| Last Modified: | 25 Sep 2024 16:43 |
| Cite in APA 7: | Hojatian, H., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2022, December). Flexible Unsupervised Learning for Massive MIMO Subarray Hybrid Beamforming [Paper]. IEEE Global Communications Conference (GLOBECOM 2022), Rio de Janeiro, Brazil. https://doi.org/10.1109/globecom48099.2022.10001155 |
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