论文标题
多层光学OFDM中的残留剪辑噪声：建模，分析和应用
Residual Clipping Noise in Multi-layer Optical OFDM: Modeling, Analysis, and Application
论文作者
论文摘要
光学正交频施加多路复用（O-OFDM）方案是产生非负信号的OFDM方案的变化。不对称剪切的O-OFDM（ACO-OFDM）是一种单层O-OFDM方案，通过采用多个ACO-OFDM层或ACO OFDM和其他O-OFDM方案，可以提高其光谱效率。但是，由于在这种增强的ACO OFDM（EACO-OFDM）中进行的符号检测是迭代进行的，因此错误的检测会导致残留剪切噪声（RCN），从而在实践中会降低性能。因此，重要的是为RCN开发精确的模型，该模型可用于设计RCN感知的EACO OFDM方案。为此，本文对RCN进行了数学分析，从而导致了RCN功率的准确模型。获得的模型用于分析各种EACO-OFDM方案的性能。结果表明，该模型提供了对符号错误率（SER）的准确评估，如果RCN被忽略，该模型将被低估。此外，与RCN-Unaware设计相比，该模型可用于设计RCN感知的资源分配，从而增加系统的鲁棒性。
Optical orthogonal frequency division multiplexing (O-OFDM) schemes are variations of OFDM schemes which produce non-negative signals. Asymmetrically-clipped O-OFDM (ACO-OFDM) is a single-layer O-OFDM scheme, whose spectral efficiency can be enhanced by adopting multiple ACO-OFDM layers or a combination of ACO-OFDM and other O-OFDM schemes. However, since symbol detection in such enhanced ACO-OFDM (eACO-OFDM) is done iteratively, erroneous detection leads to residual clipping noise (RCN) which can degrade performance in practice. Thus, it is important to develop an accurate model for RCN which can be used to design RCN-aware eACO-OFDM schemes. To this end, this paper provides a mathematical analysis of RCN leading to an accurate model of RCN power. The obtained model is used to analyze the performance of various eACO-OFDM schemes. It is shown that the model provides an accurate evaluation of symbol error rate (SER), which would be underestimated if RCN is ignored. Moreover, the model is shown to be useful for designing an RCN-aware resource allocation that increases the robustness of the system in terms of meeting a target SER, compared to an RCN-unaware design.
