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

Abstract 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 perform...

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Bibliografiset tiedot

Päätekijät:	Arun Kumar, Nishant Gaur, Ayman A. Aly, Aziz Nanthaamornphong
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	SpringerOpen 2024-10-01
Sarja:	EURASIP Journal on Wireless Communications and Networking
Aiheet:	OTFS Neural network PAPR B5G Vendermonde matrix PTS
Linkit:	https://doi.org/10.1186/s13638-024-02414-z
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