用于200+ Gbps IM/DD系统的多符号输出长短期记忆神经网络均衡器

2021 European Conference on Optical Communication (ECOC) Pub Date : 2021-09-13 DOI:10.1109/ecoc52684.2021.9606010

Bohan Sang, Jiao Zhang, Chen Wang, Miao Kong, Yuxuan Tan, Li Zhao, Wen Zhou, Dongdong Shang, Yamin Zhu, Hong Yi, Jianjun Yu

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引用次数: 9

摘要

我们提出了一种单通道212Gbps的IM/DD pam4系统，该系统具有新颖的多符号输出LSTM均衡器，其性能远远优于FFE&VNE和单符号输出LSTM，同时将复杂度降低49.85%，并且与双向LSTM性能相似，复杂度约为1/4。

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Multi-Symbol Output Long Short-Term Memory Neural Network Equalizer For 200+ Gbps IM/DD System

We propose a single-lane 212Gbps IM/DD PAM-4 system with a novel Multi-Symbol Output LSTM equalizer that performs much better than FFE&VNE and single-symbol output LSTM, and reduces complexity by 49.85% at the same time, and achieves similar performance with Bi-directional LSTM with around 1/4 complexity.

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2021 European Conference on Optical Communication (ECOC)

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