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Self-adaptive probabilistically shaped star-carrier-less amplitude/phase passive optical network based on simulated annealing algorithm

机译:基于模拟退火算法的自适应概率型无星载波幅度/相位无源光网络

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摘要

A self-adaptive probabilistically shaped (PS) star-carrier-less amplitude/phase (CAP)-24 modulated passive optical network (PON) is proposed to adaptively adjust the probability distribution of the signal points. The proposed scheme is capable of accommodating different channels and transmission distances to obtain the optimal probability distribution. The employment of the simulated annealing algorithm in the constellation can significantly reduce the average signal power, as well as facilitating the flexible deployment and enhancement of the PON system. The experimental results show that the self-adaptive optimal signal transmission can be acquired when the probability ratio of signal points located in the three well-designed rings of the CAP-24 constellation is set as 0.724:0.175:0.101. Compared with the general PS-star-CAP-32 signal, the self-adaptive PS-star-CAP-24 signal has a gain of 1.5 dB at the 7% hard decision forward error correction (HD-FEC) limit. What is more, the proposed PS self-adaptive PS-star-CAP-24 can outperform the general PS-star-CAP-24 constellation by 0.2 dB at the 7% HD-FEC limit.
机译:提出了一种自适应概率形状(PS)无星载波幅度/相位(CAP)-24调制无源光网络(PON),以自适应地调整信号点的概率分布。所提出的方案能够适应不同的信道和传输距离以获得最佳的概率分布。在星座中采用模拟退火算法可以显着降低平均信号功率,并有利于PON系统的灵活部署和增强。实验结果表明,将位于CAP-24星座的三个设计良好的环中的信号点的概率比设置为0.724:0.175:0.101,可以获得自适应的最佳信号传输。与普通PS-star-CAP-32信号相比,自适应PS-star-CAP-24信号在7%硬判决前向纠错(HD-FEC)极限处的增益为1.5 dB。此外,在7%的HD-FEC限制下,拟议的PS自适应PS-star-CAP-24可以比一般PS-star-CAP-24星座好0.2 dB。

著录项

  • 来源
    《Optical engineering》 |2019年第2期|026101.1-026101.6|共6页
  • 作者单位

    Nanjing University of Information Science and Technology, Institute of Optics and Electronics, Nanjing, China;

    Nanjing University of Information Science and Technology, Institute of Optics and Electronics, Nanjing, China;

    Nanjing University of Information Science and Technology, Institute of Optics and Electronics, Nanjing, China;

    Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China;

    Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China;

    Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China;

    Nanjing University of Information Science and Technology, Institute of Optics and Electronics, Nanjing, China;

    Nanjing University of Information Science and Technology, Institute of Optics and Electronics, Nanjing, China;

    Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China,Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communications, Beijing, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    probabilistic shaping; self-adaptive; passive optical network; simulated annealing algorithm;

    机译:概率整形自适应无源光网络;模拟退火算法;

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