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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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Principais autores: Arun Kumar, Nishant Gaur, Ayman A. Aly, Aziz Nanthaamornphong
פורמט: Artigo
שפה:Inglês
יצא לאור: SpringerOpen 2024-10-01
סדרה:EURASIP Journal on Wireless Communications and Networking
נושאים:
OTFS
Neural network
PAPR
B5G
Vendermonde matrix
PTS
גישה מקוונת:https://doi.org/10.1186/s13638-024-02414-z
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