2022
DOI: 10.1109/jlt.2022.3168698
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Fast and Accurate Waveform Modeling of Long-Haul Multi-Channel Optical Fiber Transmission Using a Hybrid Model-Data Driven Scheme

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Cited by 20 publications
(2 citation statements)
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“…To address this problem, numerous NLI compensation (NLC) algorithms have been proposed, such as digital back-propagation (DBP), 5 8 perturbative nonlinear compensation (PNC), 9 13 Volterra series nonlinear equalizer (VSNE), 14 , 15 phase-conjugate twin wave, 16 , 17 and machine learning (ML) 18 24 Among these schemes, DBP and VSNE require to perform multiple fast Fourier transformation (FFT) and inverse FFT (IFFT) operations, which incurs a relatively higher computational complexity. The NLC performance of PCTM will be at the expense of 50% spectrum efficiency.…”
Section: Introductionmentioning
confidence: 99%
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“…To address this problem, numerous NLI compensation (NLC) algorithms have been proposed, such as digital back-propagation (DBP), 5 8 perturbative nonlinear compensation (PNC), 9 13 Volterra series nonlinear equalizer (VSNE), 14 , 15 phase-conjugate twin wave, 16 , 17 and machine learning (ML) 18 24 Among these schemes, DBP and VSNE require to perform multiple fast Fourier transformation (FFT) and inverse FFT (IFFT) operations, which incurs a relatively higher computational complexity. The NLC performance of PCTM will be at the expense of 50% spectrum efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…For further decreasing the computational complexity, a system-independent NLC scheme based on the bidirectional long short-term memory (Bi-LSTM) is proposed in Ref. 24. As a sequential computation, the Bi-LSTM has a higher time complexity and poor real-time performance.…”
Section: Introductionmentioning
confidence: 99%