Hamed Hojatian, Vu Nguyen Ha, Jérémy Nadal, Jean-François Frigon
and François Leduc-Primeau
Paper (2020)
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| Department: | Department of Electrical Engineering |
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| Research Center: | GR2M - Microelectronics and Microsystems Research Group |
| ISBN: | 9781728150895 |
| PolyPublie URL: | https://publications.polymtl.ca/45774/ |
| Conference Title: | IEEE International Conference on Communications (ICC 2020) |
| Conference Location: | Dublin, Ireland |
| Conference Date(s): | 2020-06-07 - 2020-06-11 |
| Publisher: | IEEE |
| DOI: | 10.1109/icc40277.2020.9149321 |
| Official URL: | https://doi.org/10.1109/icc40277.2020.9149321 |
| Date Deposited: | 18 Apr 2023 15:00 |
| Last Modified: | 25 Sep 2024 16:33 |
| Cite in APA 7: | Hojatian, H., Ha, V. N., Nadal, J., Frigon, J.-F., & Leduc-Primeau, F. (2020, June). RSSI-Based Hybrid Beamforming Design with Deep Learning [Paper]. IEEE International Conference on Communications (ICC 2020), Dublin, Ireland (6 pages). https://doi.org/10.1109/icc40277.2020.9149321 |
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