Reducing computation complexity by using elastic net regularization based pruned Volterra equalization in a 80 Gbps PAM-4 signal for inter-data center interconnects

Volterra equalization (VE) presents substantial performance enhancement for high-speed optical signals but suffers from high computation complexity which limits its physical implementations. To address these limitations, we propose and experimentally demonstrate an elastic net regularization-based p...

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Vydané v:Optics express Ročník 28; číslo 26; s. 38539
Hlavní autori: Yadav, Govind sharan, Chuang, Chun-Yen, Feng, Kai-Ming, Yan, Jhih-Heng, Chen, Jyehong, Chen, Young-Kai
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States 21.12.2020
ISSN:1094-4087, 1094-4087
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Shrnutí:Volterra equalization (VE) presents substantial performance enhancement for high-speed optical signals but suffers from high computation complexity which limits its physical implementations. To address these limitations, we propose and experimentally demonstrate an elastic net regularization-based pruned Volterra equalization (ENPVE) to reduce the computation complexity while still maintain system performance. Our proposed scheme prunes redundant weight coefficients with a three-phase configuration. Firstly, we pre-train the VE with an adaptive EN-regularizer to identify significant weights. Next, we prune the insignificant weights away. Finally, we retrain the equalizer by fine-tuning the remaining weight coefficients. Our proposed ENPVE achieves superior performance with reduced computation complexity. Compared with conventional VE and L1 regularization-based Volterra equalizer (L1VE), our approach show a complexity reduction of 97.4% and 20.2%, respectively, for an O-band 80-Gbps PAM4 signal at a received optical power of −4 dBm after 40 km SMF transmission.
Bibliografia:ObjectType-Article-1
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ISSN:1094-4087
1094-4087
DOI:10.1364/OE.411465