Fiber Nonlinearity Equalizer Based on Support Vector Classification for Coherent Optical OFDM
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A support vector machine (SVM)-based classification nonlinear equalizer (NLE) is demonstrated, for the first time, in coherent optical orthogonal frequency-division multiplexing (CO-OFDM).Abstract:
A support vector machine (SVM)-based classification nonlinear equalizer (NLE) is demonstrated, for the first time, in coherent optical orthogonal frequency-division multiplexing (CO-OFDM). For a 40-Gb/s 16 quadrature amplitude modulated (16QAM) CO-OFDM system at 400 km of transmission, SVM-NLE reduces the fiber-induced nonlinearity penalty by about 1 dB in comparison to the benchmark artificial-neural-network (ANN)-based and inverse-Volterra-series-transfer-function-based NLEs.read more
Citations
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TL;DR: A survey on fiber nonlinearity compensation (NLC) techniques is provided and focuses on the well-known NLC techniques and discusses their performance, as well as their implementation and complexity.
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K-means-clustering-based fiber nonlinearity equalization techniques for 64-QAM coherent optical communication system.
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Equalization performance and complexity analysis of dynamic deep neural networks in long haul transmission systems
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References
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Chih-Chung Chang,Chih-Jen Lin +1 more
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OFDM for Optical Communications
TL;DR: In this paper, the authors give a tutorial overview of OFDM and highlight the aspects that are likely to be important in optical applications, and discuss the constraints imposed by single mode optical fiber, multimode optical fiber and optical wireless.
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TL;DR: The receiver-based digital signal processing to mitigate self-phase-modulation (SPM) and Gordon-Mollenauer phase noise, which is equivalent to the midspan phase conjugation is shown.
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