Parallel Digital Backpropagation in Fiber Optics Considering Four-Wave Mixing Terms

ICC 2023 - IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS(2023)

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摘要
Digital backpropagation (DBP) is the most effective fiber optic compensation technique. While DBP can increase the achievable data rate, its high computational complexity prevents its use in real-time applications. Parallelization is one of the most promising techniques to allow real-time DBP. Existing parallel DBP (PDBP) are based on coupled nonlinear Schrodinger equation (NLSE), which only considers cross-phase modulation and discards the rest of the inter-channel impairments. Therefore, these methods lose their performance in today's wavelength-division multiplexing systems. We fill this gap by proposing a PDBP capable of working with regular NLSE and compensating for all fiber impairments, including four-wave mixing. We analytically derive the compensation equations for the parallel scheme and handle them efficiently to reduce the complexity. Our simulations show a significant improvement in the sense of optimal launched power, achievable data rate, and system reach over existing DBPs with comparable complexity.
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关键词
Digital Backpropagation,Fiber Nonlinearity Compensation,Coupled NLSE,Split-Step Fourier Method
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