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arXiv 1810.00513cs.ITmath.IT
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非色散非线性光纤信道中信道容量的$\log\log$增长。模型的扩展

The $\log\log$ growth of channel capacity for nondispersive nonlinear optical fiber channel in intermediate power range. Extension of the model

A. V. Reznichenko, A. I. Chernykh, S. V. Smirnov, I. S. Terekhov

摘要:

在我们之前的论文[Phys. Rev. E 95,062122(2017)]中,我们考虑了由具有零色散和加性高斯噪声的非线性薛定谔方程建模的光信道。我们发现每个样本的信道容量r这个模型。本文通过引入初始信号对时间的依赖性和输出信号的检测过程,对单样本模型进行了扩展。所提出的模型是一个更接近现实的通信链路比每样本模型,其中没有依赖于初始信号的时间。对于所提出的模型,我们找到了输出信号的解析和数值的放大器。使用这些分解器,我们建立了条件概率密度函数。然后我们计算输出信号的熵、条件熵和互信息。最大化的互信息,我们找到了最佳的输入信号分布,信道容量?以及它们对中间功率范围的时域中的形状或初始信号的依赖性。

英文摘要:

In our previous paper [Phys. Rev. E 95, 062122 (2017)] we considered the optical channel modelled by the nonlinear Schrödinger equation with zero dispersion and additive Gaussian noise. We found per-sample channel capacity rof this model. In the present paper we extend per-sample model by introducing the initial signal dependence on time and the output signal detection procedure. The proposed model is a closer approximation of the realistic communication link than the per-sample model where there is no dependence of the initial signal on time. For the proposed model we found the correlators of the output signal both analytically and numerically. Using these correlators we built the conditional probability density function. Then we calculated an entropy of the output signal, a conditional entropy, and the mutual information. Maximizing the mutual information we found the optimal input signal distribution, channel capacity? and their dependence on the shape or the initial signal in the time domain for the intermediate power range.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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