基于机器学习优化的相干光OFDM副载波功率负载

M. Schaedler, M. Kuschnerov, S. Pachnicke, Christian Blümm, F. Pittalà, C. Xie
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引用次数: 5

摘要

提出了基于机器学习子载波相互作用和非线性信噪比进展的增强功率负载,以提高光学相干OFDM系统的误码率性能,在OSNR方面比经典方案获得0.5 dB的增益。
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Subcarrier Power Loading for Coherent Optical OFDM Optimized by Machine Learning
Enhanced power loading based on machine learned subcarrier interactions and nonlinear SNR progression is proposed to improve BER performance in optical coherent OFDM systems, achieving a gain of 0.5 dB in OSNR vs. classical schemes.
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