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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kim, Tae-Kyoung, Min, Moonsik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229451/
https://www.ncbi.nlm.nih.gov/pubmed/35746162
http://dx.doi.org/10.3390/s22124379

Ejemplares similares