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On the design of NFT-based communication systems with lumped amplification

机译:基于集总放大的基于NFT的通信系统设计

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摘要

Nonlinear Fourier transform (NFT) based transmission technique relies on the integrability of the nonlinear Schrodinger equation (NLSE). However, the lossless NLSE is not directly applicable for the description of light evolution in fibre links with lumped amplifications such as Erbium-doped fibre amplifier (EDFA) because of the non-uniform loss and gain evolution. In this case, the path-averaged model is usually applied as an approximation of the true NLSE model including the fibre loss. However, the inaccuracy of the lossless path-average model, even though being small, can also result in a notable performance degradation in NFT-based transmission systems. In this work, we extend the theoretical approach, which was firstly proposed for solitons in EDFA systems, to the case of NFT-based systems to constructively diminish the aforementioned performance penalty. Based on the quantitative analysis of distortions due to the use of path-average model, we optimise the signal launch and detection points to minimise the models mismatch. Without loss of generality, we demonstrate how the approach works for the NFT systems that use continuous NFT spectrum modulation (vanishing signals) and NFT main spectrum modulation (periodic signals). Through numerical modelling we quantify the corresponding improvements in system performance.
机译:基于非线性傅立叶变换(NFT)的传输技术依赖于非线性Schrodinger方程(NLSE)的可积性。但是,由于损耗和增益的不均匀性,无损NLSE不能直接用于描述集总放大的光纤链路中的光演化,例如掺Er光纤放大器(EDFA)。在这种情况下,路径平均模型通常用作包括纤维损耗在内的真实NLSE模型的近似值。但是,无损路径平均模型的不精确性即使很小,也可能导致基于NFT的传输系统中的性能显着下降。在这项工作中,我们将最初针对EDFA系统中的孤子提出的理论方法扩展到基于NFT的系统的情况,以建设性地减少上述性能损失。基于使用路径平均模型对失真进行的定量分析,我们优化了信号发射和检测点,以最大程度地减少模型失配。在不失一般性的前提下,我们演示了该方法如何适用于使用连续NFT频谱调制(消失信号)和NFT主频谱调制(周期性信号)的NFT系统。通过数值建模,我们量化了系统性能的相应改进。

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