• Laser & Optoelectronics Progress
  • Vol. 59, Issue 13, 1306006 (2022)
Pengcheng Deng, Rui Wang, Hui Yang*, and Anlin Yi
Author Affiliations
  • School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, Sichuan , China
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    DOI: 10.3788/LOP202259.1306006 Cite this Article Set citation alerts
    Pengcheng Deng, Rui Wang, Hui Yang, Anlin Yi. Optical Access Network Based on Non-Orthogonal Multiple Access and Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2022, 59(13): 1306006 Copy Citation Text show less
    Long reach PON system based on PD-NOMA and CNN
    Fig. 1. Long reach PON system based on PD-NOMA and CNN
    Simulation block diagram for long reach NOMA-PON downstream transmission based on modified CNN receiver
    Fig. 2. Simulation block diagram for long reach NOMA-PON downstream transmission based on modified CNN receiver
    Relationship between receiver sensitivity and PDR for SIC-based demodulation scheme
    Fig. 3. Relationship between receiver sensitivity and PDR for SIC-based demodulation scheme
    Receiver BER of user 1 under different PDR
    Fig. 4. Receiver BER of user 1 under different PDR
    Receiver BER of user 1 under different PDR
    Fig. 5. Receiver BER of user 1 under different PDR
    ParameterValue
    Initial learning rate0.001
    Training dataset size48000
    Test dataset size48000
    Training batch size800
    Epoch size300
    Table 1. Training parameters of the CNN model
    PDRFI for SIC-based methodFI for CNN-based method
    40.98690.9882
    60.99590.9957
    80.99981.0000
    100.99040.9942
    Table 2. System fairness index of different receivers
    Pengcheng Deng, Rui Wang, Hui Yang, Anlin Yi. Optical Access Network Based on Non-Orthogonal Multiple Access and Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2022, 59(13): 1306006
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