论文标题
不匹配的模型，以降低光纤通道的容量
Mismatched Models to Lower Bound the Capacity of Optical Fiber Channels
论文作者
论文摘要
开发了一个相关的相关射相和添加液（CPAN）错配模型，用于通过非线性schrödinger方程控制的光纤通道的波长多路复用。 CPAN模型的相位和添加噪声过程都是高斯 - 马尔科夫（Gauss-Markov），而以前的工作使用了维纳相相位噪声和白色添加噪声。得出二阶统计数据，并且容量的下限是通过模拟计算的。 CPAN模型在达到更好的信息速率的意义上比现有模型更好地表征非线性。例如，当使用单个波长单个载体时，模型以峰值数据速率获得0.35 dB的功率。对于每个波长多个载体，该模型与频率依赖的功率分配相结合，速率为0.14位/s/s/s/s/s/s/s/s/s/s/s/s/s/s/s/s/s/s/s/s/s/s/s/s/hz，峰值数据速率的功率为0.8 dB。
A correlated phase-and-additive-noise (CPAN) mismatched model is developed for wavelength division multiplexing over optical fiber channels governed by the nonlinear Schrödinger equation. Both the phase and additive noise processes of the CPAN model are Gauss-Markov whereas previous work uses Wiener phase noise and white additive noise. Second order statistics are derived and lower bounds on the capacity are computed by simulations. The CPAN model characterizes nonlinearities better than existing models in the sense that it achieves better information rates. For example, the model gains 0.35 dB in power at the peak data rate when using a single carrier per wavelength. For multiple carriers per wavelength, the model combined with frequency-dependent power allocation gains 0.14 bits/s/Hz in rate and 0.8 dB in power at the peak data rate.
