Long Short Term Memory Neural Network (LSTMNN) and inter-symbol feature extraction for 160 Gbit/s PAM4 from silicon micro-ring transmitter

Ching Wei Peng, David W.U. Chan, Chi Wai Chow*, Tun Yao Hung, Yin He Jian, Yeyu Tong, Pin Cheng Kuo, Guan Hong Chen, Yang Liu, Chien Hung Yeh, Hon Ki Tsang*

*此作品的通信作者

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

We propose and experimentally illustrate the use of Long Short Term Memory Neural Network (LSTMNN) and inter-symbol feature extraction (IFE) to recover 4-level pulse amplitude modulation (PAM4) data transmitted from a silicon micro-ring modulator (SiMRM) operated at 160 Gbit/s. Pre-hard-decision (HD) forward error correction (FEC) requirement (i.e. bit-error-rate, BER < 3.8 × 10−3) is achieved in the 160 Gbit/s PAM4 signal produced using a 47-GHz bandwidth SiMRM after 1 km single-mode-fiber (SMF) transmission.

原文English
文章編號129067
期刊Optics Communications
529
DOIs
出版狀態Published - 15 2月 2023

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