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A Low-Complexity Algorithm for a Reinforcement Learning-Based Channel Estimator for MIMO Systems
This paper proposes a low-complexity algorithm for a reinforcement learning-based channel estimator for multiple-input multiple-output systems. The proposed channel estimator utilizes detected symbols to reduce the channel estimation error. However, the detected data symbols may include errors at th...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229451/ https://www.ncbi.nlm.nih.gov/pubmed/35746162 http://dx.doi.org/10.3390/s22124379 |