论文标题
概率振幅形状和非线性耐受性：分析和序列选择方法
Probabilistic Amplitude Shaping and Nonlinearity Tolerance: Analysis and Sequence Selection Method
论文作者
论文摘要
概率振幅成型（PAS）是实现光纤通信中塑形增益的实用手段。但是，通常，PAS和塑形也会影响非线性干扰的信号依赖性产生。这为通过PAS进行非线性缓解的机会提供了机会，这也称为非线性形状增益。在本文中，我们引入了一个线性低通滤波器模型，该模型将传输的符号 - 能源序列和光纤通道中经历的非线性失真相关联。基于此模型，我们对PAS进行了非线性分析，相对于塑造区块长度和映射策略。我们的模型解释了文献中发现的结果和关系，可以用作具有提高非线性耐受性的PAS的设计工具。我们使用该模型引入一个具有序列选择的PAS的新指标。我们对基于选择的PA进行具有各种振幅塑造和映射策略的基于选择的PA进行模拟，以证明在不同的光纤系统场景中新指标的有效性。
Probabilistic amplitude shaping (PAS) is a practical means to achieve a shaping gain in optical fiber communication. However, PAS and shaping in general also affect the signal-dependent generation of nonlinear interference. This provides an opportunity for nonlinearity mitigation through PAS, which is also referred to as a nonlinear shaping gain. In this paper, we introduce a linear lowpass filter model that relates transmitted symbol-energy sequences and nonlinear distortion experienced in an optical fiber channel. Based on this model, we conduct a nonlinearity analysis of PAS with respect to shaping blocklength and mapping strategy. Our model explains results and relationships found in literature and can be used as a design tool for PAS with improved nonlinearity tolerance. We use the model to introduce a new metric for PAS with sequence selection. We perform simulations of selection-based PAS with various amplitude shapers and mapping strategies to demonstrate the effectiveness of the new metric in different optical fiber system scenarios.
