Deep Learning-Enhanced Autoencoder for Multi-Carrier Wireless Systems
Deep Learning-Enhanced Autoencoder for Multi-Carrier Wireless Systems
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
In a multi-carrier (MC) system, the transmitted data are split across several sub-carriers as a crucial approach for achieving high data rates, reliability, and spectral efficiency. Deep learning (DL) enhances MC systems by improving signal representation, leading to more efficient data transmission and reduced bit error rates. In this paper, we pr...
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Full title
Deep Learning-Enhanced Autoencoder for Multi-Carrier Wireless Systems
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TN_cdi_doaj_primary_oai_doaj_org_article_ab94b5ba19e04811bb720a902dc88ed0
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ab94b5ba19e04811bb720a902dc88ed0
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math12233685
