Startseite 40 Gb/s RoFSO communication system under turbulent channel link for 5G applications
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40 Gb/s RoFSO communication system under turbulent channel link for 5G applications

  • Tahani J. Mohammed und Mazin Ali A. Ali EMAIL logo
Veröffentlicht/Copyright: 29. November 2024
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Abstract

The present study involves an examination of a communication system known as radio over free space optics (RoFSO), which was designed using Optisystem ver. 20. The main purpose of this inquiry is to analyze the transmission of data at a rate of 40 Gb/s over a link distance of 2 km. The achievement was attained by the utilization of four transmission channels, each of which has the capability to send data at a rate of 10 Gb/s. The system under consideration was evaluated through varying degrees of turbulence. Two scintillation models, log-normal and gamma–gamma, were used to evaluate the proposed communication performance and include evaluating the behavior of specific wavelengths (193.1, 193.2, 193.3, and 193.4 THz) in transmitting data. This evaluation is achieved by the metrics Q-factor, bit error rate (BER), and log BER. The suggested system’s data-transfer performance improved up to a distance of 1.75 km when the scintillation (L-N) model was applied, whereas it was limited to 0.75 km when the (G-G) model was imposed. Furthermore, it is noticed that the wavelength (193.1 THz) is distinct in data transfer across the two models, followed by the wavelength (193.4 THz). RoFSO is an emerging network architecture that holds significant potential for fulfilling the envisioned requirements for the advancement of 5G systems.


Corresponding author: Mazin Ali A. Ali, Department of Physics, College of Science, Mustansiriyah University, Baghdad, Iraq, E-mail:

Acknowledgments

The authors would like to thank Mustansiriyah University/College of Science for supporting this work in the physics department labs.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

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

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

  5. Conflict of interests: The authors declare that they have no competing interests.

  6. Research funding: None declared.

  7. Data availability: The data used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Received: 2024-08-22
Accepted: 2024-10-14
Published Online: 2024-11-29

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 10.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/joc-2024-0205/html
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