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    ARTICLE

    Machine Learning-based Inverse Model for Few-Mode Fiber Designs

    Bhagyalaxmi Behera1, Gyana Ranjan Patra1, Shailendra Kumar Varshney2, Mihir Narayan Mohanty1,*

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 311-328, 2023, DOI:10.32604/csse.2023.029325

    Abstract The medium for next-generation communication is considered as fiber for fast, secure communication and switching capability. Mode division and space division multiplexing provide an excellent switching capability with high data transmission rate. In this work, the authors have approached an inverse modeling technique using regression-based machine learning to design a weakly coupled few-mode fiber for facilitating mode division multiplexing. The technique is adapted to predict the accurate profile parameters for the proposed few-mode fiber to obtain the maximum number of modes. It is for a three-ring-core few-mode fiber for guiding five, ten, fifteen, and twenty modes. Three types of regression… More >

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