Acta Optica Sinica, Volume. 45, Issue 7, 0706002(2025)

Adaptive Probabilistic Shaping Combined with Geometric Shaping Technology for Turbulent Channels

Xinyao Wang, Xin Zhao*, Chenyan Shu, Xiaoying Ding, Zhuo Wang, and Jiahui Liu
Author Affiliations
  • School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, Jilin , China
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    Figures & Tables(11)
    System block diagram of adaptive probabilistic shaping combined with geometric shaping scheme
    Probability distributions of 16-QAM signal. (a) Uniform distribution; (b) probabilistic shaping distribution
    GMI iterative convergence
    Probability distributions of 16-QAM signal. (a) Geometric shaping; (b) probabilistic shaping combined with geometric shaping
    Gamma-Gamma channel model
    Constellation diagrams received by 16-QAM when the scintillation index is 0.14. (a) Uniform distribution; (b) geometric shaping; (c) adaptive probabilistic shaping; (d) adaptive probabilistic shaping combined with geometric shaping
    GMI curves of 16-QAM signal under different scintillation indices
    NGMI curves of 16-QAM signal under different scintillation indices
    Pre-FEC BER curves of 16-QAM signal under different scintillation indices
    • Table 1. Genetic algorithm process

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      Table 1. Genetic algorithm process

      Input: different turbulence channel state information
      Output: probabilistic shaping factor

      Initialization:

      Generate the initial population Npop.

      Initialize chromosome.

      Set mutation probability Pmut=0.15.

      Set the crossover probability Pcro=0.2.

      Set the number of iterations Niter=1000.
      Iteration:
      Chromosomal mutations.

      Chromosome crossing over.

      Calculate individual fitness function.

      Determine the current average fitness and the best fitness value.

      Store the optimal fitness value and its corresponding optimal chromosome.

      If Niter =1000, end of iteration.
      Output: the optimal probability distribution.
    • Table 2. 16-QAM constellation point positions after geometric shaping

      View table

      Table 2. 16-QAM constellation point positions after geometric shaping

      Constellation point indexCoordinate point
      0-4.3655+0.0000i
      1-3.8122-1.9061i
      2-1.8979-3.7958i
      30.0000-4.3235i
      4-3.9214+1.9607i
      5-1.4411+0.0000i
      60.0000-1.4216i
      71.9186-3.8372i
      81.8565+3.7130i
      90.0000+1.4237i
      101.4307+0.0000i
      113.6750-1.8375i
      120.0000+ 4.3696i
      131.8839+3.7678i
      143.8289+1.9145i
      154.2444+0.0000i
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    Xinyao Wang, Xin Zhao, Chenyan Shu, Xiaoying Ding, Zhuo Wang, Jiahui Liu. Adaptive Probabilistic Shaping Combined with Geometric Shaping Technology for Turbulent Channels[J]. Acta Optica Sinica, 2025, 45(7): 0706002

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Dec. 20, 2024

    Accepted: Feb. 26, 2025

    Published Online: Apr. 16, 2025

    The Author Email: Xin Zhao (zhaox@cust.edu.cn)

    DOI:10.3788/AOS241914

    CSTR:32393.14.AOS241914

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