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Advanced Equalization in 112 Gb/s Upstream PON Using a Novel Fourier Convolution-based Network

arXiv 2405.02609 ↗First posted 4 May 2024cs.LGcited by 0

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Abstract (arXiv)

We experimentally demonstrate a novel, low-complexity Fourier Convolution-based Network (FConvNet) based equalizer for 112 Gb/s upstream PAM4-PON. At a BER of 0.005, FConvNet enhances the receiver sensitivity by 2 and 1 dB compared to a 51-tap Sato equalizer and benchmark machine learning algorithms respectively.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 12 references that are in the map. First posted on arXiv 4 May 2024.

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References · 5

  1. 2014Going Deeper with Convolutionscited by 4,241
  2. 2022TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysiscited by 1,058
  3. 2024Fully-blind Neural Network Based Equalization for Severe Nonlinear Distortions in 112 Gbit/s Passive Optical Networkscited by 2
  4. 2024A Novel Machine Learning-based Equalizer for a Downstream 100G PAM-4 PONcited by 2
  5. 2021KIGLIS: Smart Networks for Smart Citiescited by 1

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