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Machine learning for DCO-OFDM based LiFi

Machine learning for DCO-OFDM based LiFi

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2601447975

Machine learning for DCO-OFDM based LiFi

About this item

Full title

Machine learning for DCO-OFDM based LiFi

Publisher

United States: Public Library of Science

Journal title

PloS one, 2021-11, Vol.16 (11), p.e0259955-e0259955

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Light fidelity (LiFi) uses different forms of orthogonal frequency division multiplexing (OFDM), including DC biased optical OFDM (DCO-OFDM). In DCO-OFDM, the use of a large DC bias causes optical power inefficiency, while a small bias leads to higher clipping noise. Hence, finding an appropriate DC bias level for DCO-OFDM is important. This paper...

Alternative Titles

Full title

Machine learning for DCO-OFDM based LiFi

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2601447975

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2601447975

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0259955

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