4.7 Article

On the Interplay of Nonlinear Interference Generation With Stimulated Raman Scattering for QoT Estimation

期刊

JOURNAL OF LIGHTWAVE TECHNOLOGY
卷 36, 期 15, 页码 3131-3141

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JLT.2018.2814840

关键词

Nonlinear interference (NLI); generalized Gaussian noise (GGN)-model; coherent optical systems

向作者/读者索取更多资源

To effectively operate multivendor disaggregated networks, the performance of the physical layer needs to he assessed by a quality-of transmission estimator (QoT-E) delivering quick results with a given reliability range. Current state-of-theart wavelength-division-multiplexing channels are based on multilevel modulation formats relying on DSP-operated coherent receivers, propagating on uncompensated and amplified optical links. In this transmission scenario, beside amplified spontaneous emission noise accumulation, nonlinear propagation impairments are well summarized by the accumulation of a Gaussian-distributed disturbance: the nonlinear interference (NLI). When exploiting a transmission bandwidth exceeding the C-band, the interaction of NLI generation with the stimulated Raman scattering (SRS) must be properly considered. We present the derivation of the generalized Gaussian noise (GGN) model for NLI generation, including the SRS and, in general, a spectral and spatial variation of gain/loss. We validate its accuracy by comparing performances predicted by a QoT-E based on the GGN model with measurements on a testbed exploiting commercial equipment, including 100 Gb/s transponders. Considering that operational parameters of the commercial equipment are known with a large range of uncertainty, an excellent agreement with errors within 0.5 dB on the generalized Signal-to-noise ratio (SNR) is shown, demonstrating that the GGN-model can be used for the QoT-E in multivendor network scenarios. Moreover, the GGN model has shown the capability to predict the spectral tilting due to SRS in SNR performances, enabling its application to evaluate the impact of linear pretilting for SRS precompensation and NLI generation.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据