TY - GEN
T1 - ResNet Equalizer for OAM Mode Divsion Multiplexing Obtical Fiber Communication System
AU - Chu, Jingjing
AU - Zhang, Qi
AU - Gao, Ran
AU - Wang, Fei
AU - Xin, Xiangjun
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In recent years, orbital angular momentum mdoe division multiplexing(OAM MDM) has become an important technology to enhance the transmission capacity of optical fiber communication systems. However, the nonlinear interference within the system seriously affects its performance. In this paper, a nonlinear equalization method based on residual neural networks(ResNet) is proposed, which uses deeper neural networks to compensate for nonlinear interference. In addition, this paper proposes a mixed-mode training method to improve the compensation ability of ResNet equalizer when transmitting at higher mode in fiber. Finally, based on computational cache, we design a low time complexity equalizer scheme. Through experiments, ResNet equalizer has better bit error rate(BER) performance reaching to -4.74dB and -3.37dB at mode 3 and 4, compared to CNN and Volterra equalizer. Besides, combined with the methods proposed in this paper, ResNet equalizer has stronger compensation ability at higher transmitting mode and lower time complexity.
AB - In recent years, orbital angular momentum mdoe division multiplexing(OAM MDM) has become an important technology to enhance the transmission capacity of optical fiber communication systems. However, the nonlinear interference within the system seriously affects its performance. In this paper, a nonlinear equalization method based on residual neural networks(ResNet) is proposed, which uses deeper neural networks to compensate for nonlinear interference. In addition, this paper proposes a mixed-mode training method to improve the compensation ability of ResNet equalizer when transmitting at higher mode in fiber. Finally, based on computational cache, we design a low time complexity equalizer scheme. Through experiments, ResNet equalizer has better bit error rate(BER) performance reaching to -4.74dB and -3.37dB at mode 3 and 4, compared to CNN and Volterra equalizer. Besides, combined with the methods proposed in this paper, ResNet equalizer has stronger compensation ability at higher transmitting mode and lower time complexity.
KW - OAM MDM
KW - ResNet
KW - nonlinear equalization
KW - optical fiber communication
UR - http://www.scopus.com/inward/record.url?scp=85184997503&partnerID=8YFLogxK
U2 - 10.1109/ICICN59530.2023.10393519
DO - 10.1109/ICICN59530.2023.10393519
M3 - Conference contribution
AN - SCOPUS:85184997503
T3 - ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks
SP - 73
EP - 78
BT - ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE 11th International Conference on Information, Communication and Networks, ICICN 2023
Y2 - 17 August 2023 through 20 August 2023
ER -