Modified Weighted Learned Digital Backpropagation with Pre-optimization in High-symbol-rate Coherent Systems

2022 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC)(2022)

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摘要
A modified weighted learned digital backpropagation (M-W-LDBP) with preoptimization is proposed for fiber nonlinearity compensation in high-symbol-rate coherent systems. Compared with LDBP, M-W-LDBP exhibits 1/0.7 dB signal-to-noise ratio gain in 90/128-GBaud systems, respectively. (C) 2021 The Author(s)
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关键词
preoptimization,high-symbol-rate coherent systems,modified weighted learned digital backpropagation,M-W-LDBP,fiber nonlinearity compensation,signal-to-noise ratio gain,noise figure 1.0 dB,noise figure 0.7 dB
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