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Machine Learning Technique for Few-Mode Fiber Design with Inverse Modelling for 5G and Beyond

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Paradigms of Smart and Intelligent Communication, 5G and Beyond

Part of the book series: Transactions on Computer Systems and Networks ((TCSN))

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Abstract

The next generation of communication, 5G and beyond works to connect people and things via intelligent networks. It is difficult to handle this massive data traffic with the current network architectures. The vision of the 5G network is to form a truly smart city or a connected society. But before 5G converts to the truth we need to reconstruct the network architecture to handle Trillions of Megabits and Billions of connected devices. To handle this huge data traffic the spatial domain of the fiber is highly useful. In this work, we have reviewed the requirements of 5G networks and how these can be handled by spatial multiplexing and mode multiplexing through a few-mode optical fiber. The conventional design of few-mode fiber with a complex structure is time-consuming and fixed for a given fiber structure. This article demonstrates the machine learning-based inverse modeling of the triangular-ring-core few-mode fiber profile with weak coupling optimization.

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Authors and Affiliations

  1. ITER, Siksha ‘O’ Anusandhan (Deemed to Be University), Bhubaneswar, 751030, India

    Bhagyalaxmi Behera, Abhishek Das & Mihir Narayan Mohanty

Authors
  1. Bhagyalaxmi Behera
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  2. Abhishek Das
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  3. Mihir Narayan Mohanty
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Corresponding author

Correspondence to Mihir Narayan Mohanty .

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Editors and Affiliations

  1. G L Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India

    Amrita Rai

  2. G L Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India

    Dinesh Kumar Singh

  3. Electrical Electronics and Communication Engineering (EECE), Sharda University, Greater Noida, Uttar Pradesh, India

    Amit Sehgal

  4. Electrical and Electronics Engineering Department, Trakya University Faculty of Engineering, Trakya, Türkiye

    Korhan Cengiz

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Behera, B., Das, A., Mohanty, M.N. (2023). Machine Learning Technique for Few-Mode Fiber Design with Inverse Modelling for 5G and Beyond. In: Rai, A., Kumar Singh, D., Sehgal, A., Cengiz, K. (eds) Paradigms of Smart and Intelligent Communication, 5G and Beyond. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-99-0109-8_12

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  • DOI: https://doi.org/10.1007/978-981-99-0109-8_12

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  • Print ISBN: 978-981-99-0108-1

  • Online ISBN: 978-981-99-0109-8

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