Machine Learning Strategies for Reconfigurable Intelligent Surface-Assisted Communication Systems—A Review
- DOI
- 10.3390/fi16050173
- Published
- 2024-05-17
- Container
- Future Internet
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/fi16050173,
title = {Machine Learning Strategies for Reconfigurable Intelligent Surface-Assisted Communication Systems—A Review},
author = {Roilhi F. Ibarra-Hernández and Francisco R. Castillo-Soria and Carlos A. Gutiérrez and Abel García-Barrientos and Luis Alberto Vásquez-Toledo and J. Alberto Del-Puerto-Flores},
year = {2024},
journal = {Future Internet},
doi = {10.3390/fi16050173},
url = {https://doi.org/10.3390/fi16050173}
}RIS
TY - JOUR TI - Machine Learning Strategies for Reconfigurable Intelligent Surface-Assisted Communication Systems—A Review AU - Roilhi F. Ibarra-Hernández AU - Francisco R. Castillo-Soria AU - Carlos A. Gutiérrez AU - Abel García-Barrientos AU - Luis Alberto Vásquez-Toledo AU - J. Alberto Del-Puerto-Flores PY - 2024 JO - Future Internet DO - 10.3390/fi16050173 UR - https://doi.org/10.3390/fi16050173 ER -
APA
Ibarra-Hernández, R. F., Castillo-Soria, F. R., Gutiérrez, C. A., García-Barrientos, A., Vásquez-Toledo, L. A., & Del-Puerto-Flores, J. A. (2024). Machine Learning Strategies for Reconfigurable Intelligent Surface-Assisted Communication Systems—A Review. Future Internet. https://doi.org/10.3390/fi16050173
Source records
- crossref · retrieved 2026-09-25T08:50:24.641Z