PS-16QAM-OFDM with Nonlinear Equalization Based on RBF Neural Network by 350GHz Photonic Terahertz System

We propose and simulate a 16QAM-OFDM 350GHz photonic THz system based on probabilistic shaping and RBF neural network nonlinear equalization, which BER performance and EVM are improved by 61.9% and 90% respectively.

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Published
2024-11-02
DOI
https://doi.org/10.1109/acp/ipoc63121.2024.10809890
Citations
1
Primary Topic
Advanced Photonic Communication Systems
Type
article
Field-Weighted Citation Impact
0.21
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article

PS-16QAM-OFDM with Nonlinear Equalization Based on RBF Neural Network by 350GHz Photonic Terahertz System

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1 citations
Advanced Photonic Communication Systems
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article

PS-16QAM-OFDM with Nonlinear Equalization Based on RBF Neural Network by 350GHz Photonic Terahertz System

Jianguo Yu, Kaile Li, Yu‐Ting Huang, Hongwei Zhang, Feixiang Zhang, Yunyang Zhang
article en
1 citations

Abstract

We propose and simulate a 16QAM-OFDM 350GHz photonic THz system based on probabilistic shaping and RBF neural network nonlinear equalization, which BER performance and EVM are improved by 61.9% and 90% respectively.

Beijing University of Posts and Telecommunications (CN)
Affordable and clean energy
Openalex Percentile: Top 44%
Advanced Photonic Communication Systems
0.21
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