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Simulative performance evaluation of high speed long distance soliton propagation data transmission system based on dispersion control in optical fiber system

  • Ramachandran Thandaiah Prabu EMAIL logo , Sasireka Perumalsamy , Garapati Satyanarayana Murthy , Alagar Manavalan Balamurugan , Chandran Ramesh Kumar , Natarajan Meenakshisundaram and Karem Tarek Anwer EMAIL logo
Published/Copyright: October 1, 2025
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Abstract

This paper has highlighted the simulative performance evaluation of high speed long distance soliton propagation data transmission system based on dispersion control in optical fiber system. The dispersion management for the soliton fiber system is demonstrated based on both symmetrical fiber Bragg grating (FBG) and symmetrical dispersion compensated fiber (DCF) fiber compensation system. The soliton pulse dispersion is measured versus the single mode fiber cable and symmetrical FBG compensation lengths based on the different data rates transmission. Overall system dispersion, overall system data rate transmission, overall optical/electrical system signal per noise ratio, overall system transmission distance and overall system bit error rate are demonstrated clearly against various symmetrical DCF compensation lengths with/without the soliton fiber transmission system. Improvement ratio in both dispersion management and data rate transmission are clarified against symmetrical FBG and DCF compensation techniques and single mode fiber cable length variations. As well as the overall system dispersion and data rate transmission are studied and highlighted in relation to hybrid FBG/DCF compensation techniques and without any dispersion compensation in the presence and absence of soliton fiber transmission system.


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 Karem Tarek Anwer, Fayoum Institute of Technology, Fayoum, 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 interests: The authors state no conflict of interest.

  6. Research funding: Not applicable.

  7. Data availability: Not applicable.

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Received: 2025-08-27
Accepted: 2025-09-14
Published Online: 2025-10-01

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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