Speeding up Training of Linear Predictors for Multi-Antenna Frequency-Selective Channels via Meta-Learning

An efficient data-driven prediction strategy for multi-antenna frequency-selective channels must operate based on a small number of pilot symbols. This paper proposes novel channel-prediction algorithms that address this goal by integrating transfer and meta-learning with a reduced-rank parametrizat...

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Detalles Bibliográficos
Autores principales: Park, Sangwoo, Simeone, Osvaldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600732/
https://www.ncbi.nlm.nih.gov/pubmed/37420383
http://dx.doi.org/10.3390/e24101363

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9600732/
https://www.ncbi.nlm.nih.gov/pubmed/37420383
http://dx.doi.org/10.3390/e24101363

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