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Acta Optica Sinica, Volume. 41, Issue 14, 1406003(2021)

MIMO Equalization Technology Based on Neural Network in High-Speed IM-DD Mode Division Multiplexing Transmission System

Ziyue Zhu1,2, Mengxin Zhao2, Yichen Zhang1, and Jian Chen1,2、*
Author Affiliations
  • 1Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai University, Shanghai 200444, China
  • 2Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai University, Shanghai 200444, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
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    References (26)
    Cited By (9)
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    Figures & Tables(10)
    Structure of the 2×2 IM-DD MDM transmission system

    Fig. 1. Structure of the 2×2 IM-DD MDM transmission system

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    Structure of the NN-based equalizer

    Fig. 2. Structure of the NN-based equalizer

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    Algorithm flowchart of the NN-based equalizer

    Fig. 3. Algorithm flowchart of the NN-based equalizer

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    Structure of the proposed DFNN equalizer

    Fig. 4. Structure of the proposed DFNN equalizer

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    Experimental setup for IM-DD MDM

    Fig. 5. Experimental setup for IM-DD MDM

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    BER versus number of taps. (a) BER versus L1 by setting L2=101; (b) BER versus L2 by setting L1=161,201,201

    Fig. 6. BER versus number of taps. (a) BER versus L1 by setting L2=101; (b) BER versus L2 by setting L1=161,201,201

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    BER performance comparison of LP11a and LP11b for obtb transmission at the transmission rate of 2×50 Gbit/s

    Fig. 7. BER performance comparison of LP11a and LP11b for obtb transmission at the transmission rate of 2×50 Gbit/s

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    BER performance comparison of LP11a and LP11b for 1000-m FMF transmission at the transmission rate of 2×50 Gbit/s

    Fig. 8. BER performance comparison of LP11a and LP11b for 1000-m FMF transmission at the transmission rate of 2×50 Gbit/s

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    BER performance comparison under different bit rates. (a) obtb transmission; (b) 1000-m FMF transmission

    Fig. 9. BER performance comparison under different bit rates. (a) obtb transmission; (b) 1000-m FMF transmission

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    • Table 1. Computation complexity comparison between LMS, NN, and DFNN

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      Table 1. Computation complexity comparison between LMS, NN, and DFNN

      AlgorithmComplexityMultiplication
      LMSCLMS=2S+2E+2160+60+2=222
      NNCNNtrain=Nepoch(Ntapsnhid1+nhid1nhid2+nhid2no)CNNpredict=Ntapsnhid1+nhid1nhid2+nhid2noCNNtrain=116160CNNpredict=3872
      DFNNCDFNNtrain=Nepoch(Ntapsnhid1+nhid1nhid2+nhid2no)CDFNNpredict=Ntapsnhid1+nhid1nhid2+nhid2noCDFNNtrain=116160CDFNNpredict=3872
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    Ziyue Zhu, Mengxin Zhao, Yichen Zhang, Jian Chen. MIMO Equalization Technology Based on Neural Network in High-Speed IM-DD Mode Division Multiplexing Transmission System[J]. Acta Optica Sinica, 2021, 41(14): 1406003

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Dec. 15, 2020

    Accepted: Feb. 22, 2021

    Published Online: Jul. 11, 2021

    The Author Email: Chen Jian (chenjian@shu.edu.cn)

    DOI:10.3788/AOS202141.1406003

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology