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Simulative study of different photonic crystal fibers (PCFs) types configuration based optical fiber communication channel system for short range indoor applications

  • Ramachandran Thandaiah Prabu EMAIL logo , Poornima Pandian , Radhika Rajendran , Garapati Satyanarayana Murthy , Rajendran Kanchana , Sundararaju Vijayakumar and Said Kamel Saber EMAIL logo
Published/Copyright: September 5, 2025
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Abstract

This paper has highlighted the simulative study of different photonic crystal fibers types configuration based optical fiber communication channel system for short range indoor applications. The overall system signal loss is studied in relation to different fiber types and various spectral operating wavelengths at various temperature variations with the optimum indoor reach. Besides the overall system dispersion is demonstrated versus the different fiber types and various ambient temperature variations at various near infrared spectral operating wavelengths with the optimum indoor reach. As well as the output system power is simulated and analyzed against different fiber link range and various transmission bit rates based various photonic crystal fibers configurations for the fiber communication channel. Overall transmission data rate is clarified versus different fiber types and fiber link range at different ambient temperature variations with the optimum indoor reach. Moreover the signal per noise ratio is indicated against different fiber link range and various ambient temperature variations based various photonic fiber communication channel configurations.


Corresponding authors: Ramachandran Thandaiah Prabu, Department of ECE, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, SIMATS, Saveetha University, Chennai, Tamilnadu, India, E-mail: ; and Said Kamel Saber, Tanta Academy of Technology, Tanta, Egypt, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: Not applicable.

  7. Data availability: Not applicable.

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Received: 2025-07-21
Accepted: 2025-08-11
Published Online: 2025-09-05

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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