Transfer learning enabled transformer-based generative adversarial networks for modeling and generat...
Transfer learning enabled transformer-based generative adversarial networks for modeling and generating terahertz channels
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Terahertz communications are envisioned as a promising technology for the sixth generation and beyond wireless systems, which can support wireless links with Terabits-per-second (Tbps) data rates. As the foundation of designing terahertz communications, channel modeling and characterization are crucial to scrutinize the potential of this spectrum....
Alternative Titles
Full title
Transfer learning enabled transformer-based generative adversarial networks for modeling and generating terahertz channels
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_39ac8b8b4154422f921709e9cfebf524
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_39ac8b8b4154422f921709e9cfebf524
Other Identifiers
ISSN
2731-3395
E-ISSN
2731-3395
DOI
10.1038/s44172-024-00309-x
