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PAPR reduction of OTFS using an automatic amplitude reduction neural network with vendermonde matrix...

PAPR reduction of OTFS using an automatic amplitude reduction neural network with vendermonde matrix...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e2baf43c13a042a383d372fc24697ccd

PAPR reduction of OTFS using an automatic amplitude reduction neural network with vendermonde matrix-based PTS and SLM algorithms

About this item

Full title

PAPR reduction of OTFS using an automatic amplitude reduction neural network with vendermonde matrix-based PTS and SLM algorithms

Publisher

Cham: Springer International Publishing

Journal title

EURASIP journal on wireless communications and networking, 2024-10, Vol.2024 (1), p.84-18, Article 84

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Orthogonal time frequency selectivity is considered one of the most promising advanced waveforms for high-mobility conditions in beyond-fifth-generation networks. A high peak-to-average power ratio in orthogonal time frequency introduces nonlinearity and degrades the power amplifier performance. In this work, we propose a novel automatic amplitude...

Alternative Titles

Full title

PAPR reduction of OTFS using an automatic amplitude reduction neural network with vendermonde matrix-based PTS and SLM algorithms

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e2baf43c13a042a383d372fc24697ccd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e2baf43c13a042a383d372fc24697ccd

Other Identifiers

ISSN

1687-1499,1687-1472

E-ISSN

1687-1499

DOI

10.1186/s13638-024-02414-z

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