OFDM PAPR Reduction via Time-Domain Scattered Sampling and Hybrid Batch Training of Synchronous Neural Networks

OFDM PAPR Reduction via Time-Domain Scattered Sampling and Hybrid Batch Training of Synchronous Neural Networks

Peak-to-average power ratio (PAPR) reduction in multiplexed signals in orthogonal frequency division multiplexing (OFDM) systems has been a long-standing critical issue. Clipping and filtering (CF) techniques offer good performance in terms of PAPR reduction at the expense of a relatively high compu...

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Bibliographic Details
Main Authors: Ahmad Gendia, Osamu Muta
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Electronics
Subjects:
clipping and filtering
cubic metric
neural networks
OFDM
Online Access:https://www.mdpi.com/2079-9292/10/14/1708

Internet

https://www.mdpi.com/2079-9292/10/14/1708

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