Acta Optica Sinica, Volume. 44, Issue 3, 0306003(2024)
16QAM Mode-Wavelength Division Multiplexing Coherent Transmission System Based on MIMO Neural Network Equalization
Fig. 1. Schematic diagram of MIMO-NNE
Fig. 2. Transmission system block diagram and signal processing flow. (a) 6-mode 16-channel dual polarization homodyne coherent transmission experimental device; (b) transmitter side DSP(tx-DSP); (c) receiver side DSP(rx-DSP)
Fig. 3. Schematic of 6-mode EDFA
Fig. 4. Average gain of 6-mode EDFA under different incident optical powers
Fig. 5. Performance comparison of MIMO-LMS algorithm and MIMO-NNE algorithm under different 6-mode EDFA currents
Fig. 6. Mean square error reduction process during MIMO-NNE algorithm and MIMO-LMS algorithm training. (a) MIMO-NNE algorithm; (b) MIMO-LMS algorithm
Fig. 7. Measured bit error rate under different mode subchannels
Fig. 8. Measured bit error rate under different wavelength subchannels
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Yao Zhang, Chen Wang, Bohan Sang, Yu Zhang, Xinyi Wang, Wen Zhou, Jianjun Yu. 16QAM Mode-Wavelength Division Multiplexing Coherent Transmission System Based on MIMO Neural Network Equalization[J]. Acta Optica Sinica, 2024, 44(3): 0306003
Category: Fiber Optics and Optical Communications
Received: Sep. 18, 2023
Accepted: Nov. 17, 2023
Published Online: Feb. 27, 2024
The Author Email: Yu Jianjun (jianjun@fudan.edu.cn)