PAPR Reduction based on Deep Learning Autoencoder in Coherent Optical OFDM Systems

This paper presents an innovative approach to reducing Peak-to-Average Power Ratio (PAPR) in Coherent Optical Orthogonal Frequency Division Multiplexing (CO-OFDM) systems. The proposed deep learning autoencoder-based model eliminates the computational complexity of existing PAPR reduction techniques...

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Hauptverfasser:	Alnaseri, Omar, Al-Saedi, Ibtesam R. K, Himeur, Yassine, Li, Hongxiang
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext bestellen
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