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    Home > Chemicals Industry > International Chemical > NEC uses AI technology to complete transmission tests of submarine cables

    NEC uses AI technology to complete transmission tests of submarine cables

    • Last Update: 2022-12-27
    • Source: Internet
    • Author: User
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    Recently, NEC Japan has completed transmission tests
    of commercial submarine cables through the use of AI technology (artificial intelligence) and probability molding.
    The tests were carried out on more than 10,000 kilometers of submarine
    cables.

    NEC uses AI technology to complete transmission tests of submarine cables

    A study published by NEC in collaboration with Google is the first to demonstrate that the FASTER open submarine cable can be upgraded to a spectral efficiency
    of 6b/s/Hz over a length of 11,000 kilometers.

    NEC explained that this means that the capacity of the C band exceeds 26Tb/s, more than 2.
    5 times the original planned capacity of the submarine cable, and there is no additional capital expenditure
    .

    When modulating 64 quadrature amplitude modulation, the team achieved this result using approximate Shannon probability shaping and, for the first time, used AI technology on field cables to analyze nonlinear compensation data
    .

    "Other methods for implementing nonlinear compensation attempt to solve the nonlinear Schrödinger equation, which requires the use of very complex algorithms
    .
    " Toru Kawauchi, general manager of NEC's submarine network division, said, "This approach sets aside deterministic models that are non-linear propagation to support low-complexity fiber black-box models
    generated by machine learning algorithms.
    The results show that the transmission performance is improved and the complexity is reduced
    .

    In addition, since the black-box model is constructed of transmitting data in real time, there is no need to know the cable parameters
    in advance.
    This allows the model to be used on any cable without prior modeling or characterization
    .
    This shows the potential application of AI technology in opening submarine cable systems so that end equipment
    from multiple suppliers can be easily installed.

    Recently, NEC Japan has completed transmission tests
    of commercial submarine cables through the use of AI technology (artificial intelligence) and probability molding.
    The tests were carried out on more than 10,000 kilometers of submarine
    cables.

    Submarine cables

    NEC uses AI technology to complete transmission tests of submarine cables

    NEC uses AI technology to complete transmission tests of submarine cables

    A study published by NEC in collaboration with Google is the first to demonstrate that the FASTER open submarine cable can be upgraded to a spectral efficiency
    of 6b/s/Hz over a length of 11,000 kilometers.

    NEC explained that this means that the capacity of the C band exceeds 26Tb/s, more than 2.
    5 times the original planned capacity of the submarine cable, and there is no additional capital expenditure
    .

    When modulating 64 quadrature amplitude modulation, the team achieved this result using approximate Shannon probability shaping and, for the first time, used AI technology on field cables to analyze nonlinear compensation data
    .

    "Other methods for implementing nonlinear compensation attempt to solve the nonlinear Schrödinger equation, which requires the use of very complex algorithms
    .
    " Toru Kawauchi, general manager of NEC's submarine network division, said, "This approach sets aside deterministic models that are non-linear propagation to support low-complexity fiber black-box models
    generated by machine learning algorithms.
    The results show that the transmission performance is improved and the complexity is reduced
    .

    In addition, since the black-box model is constructed of transmitting data in real time, there is no need to know the cable parameters
    in advance.
    This allows the model to be used on any cable without prior modeling or characterization
    .
    This shows the potential application of AI technology in opening submarine cable systems so that end equipment
    from multiple suppliers can be easily installed.

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