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Blind modulation format identification based on improved PSO clustering in a 2D Stokes plane.

Ruqing Zhao, Weibin Sun, Hengying Xu

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    |November 22, 2021
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    This study introduces a novel, low-complexity blind modulation format identification (MFI) scheme for elastic optical networks (EON). The improved particle swarm optimization (I-PSO) method accurately identifies multiple modulation formats with high success rates and good tolerance.

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    Area of Science:

    • Optical Communications
    • Signal Processing
    • Network Engineering

    Background:

    • Blind modulation format identification (MFI) is crucial for elastic optical networks (EON).
    • Existing MFI methods face limitations in the number of identifiable formats and computational complexity.
    • Stokes space clustering offers good performance but requires improvement.

    Purpose of the Study:

    • To propose a novel MFI scheme with low computational complexity for EON.
    • To enhance the accuracy and range of identifiable modulation formats.
    • To improve the performance of MFI under various network conditions.

    Main Methods:

    • An improved particle swarm optimization (I-PSO) clustering algorithm combined with a 2D Stokes plane.
    • I-PSO utilizes a limited field of view and neighbor communication for cluster identification.
    • Validated through simulations and proof-of-concept experiments with various modulation formats (e.g., PDM-QPSK, PDM-64QAM).

    Main Results:

    • Achieved 100% MFI success rate at optical signal-to-noise ratio (OSNR) values at or below 7% forward error correction (FEC) thresholds.
    • Demonstrated good tolerance to residual chromatic dispersion and differential group delay.
    • Maintained 100% MFI success rate across a wide launch power range (-2 to +6 dBm).

    Conclusions:

    • The proposed I-PSO based MFI scheme offers a significant improvement in accuracy and efficiency.
    • The method is effective for identifying multiple advanced modulation formats in EON.
    • The low computational complexity, denoted as O(N), makes it suitable for practical EON deployment.