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Cost-optimized centralized laser architecture for optical distribution networks

  • Gurpreet Kaur ORCID logo EMAIL logo , Simranjit Singh and Parth Sethi
Published/Copyright: July 10, 2025
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Abstract

For next-generation passive optical networks (NG-PON), this study investigates the technological and financial viability of centralized laser source designs, commonly known as optical distribution networks (ODNs). Conventional ODNs are expensive because they use separate lasers at each optical line terminal (OLT). This study suggests a centralized laser source architecture in which several OLTs are fed by a single high-power laser via passive optical splitters. A centralized laser source with a minimum output power of 10 mW can meet the required network performance, with quality factors exceeding six and low bit error rates, according to simulations done for a 6-OLT deployment in Chandigarh, India. Centralized laser ODNs are an appealing option for large-scale deployments, as cost analysis shows initial savings of roughly 63 % when compared to traditional configurations. The proposed system also demonstrates dependability, scalability, and compatibility with emerging technologies, making it ideal for future network expansions.


Corresponding author: Gurpreet Kaur, Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology (Deemed to be University), Patiala, Punjab, 147004, India, E-mail:

Acknowledgments

In this paper there no tool used such as AI or ML. This is totally based on Experiment which was conducted in Thapar University, Patiala in department of civil engineering.

  1. Research ethics: Not applicable. This study did not involve human participants, animal testing, or clinical data.

  2. Informed consent: Not applicable. No human subjects were involved in this research.

  3. Author contributions: Dr. Gurpreet Kaur worked on the graph-related analysis and took the lead in writing the manuscript. Dr. Simranjit Singh contributed by resolving technical issues encountered during the research. Parth provided the initial idea and assisted in effectively presenting the results in the manuscript.

  4. Use of Large Language Models, AI and Machine Learning Tools: The authors used a language model (ChatGPT by OpenAI) to assist in refining the grammar and structure of the manuscript. All content, ideas, and analysis are original and verified by the authors.

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

  6. Research funding: None.

  7. Data availability: All data generated or analyzed during this study are included in this published article. No additional datasets were used.

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Received: 2025-05-29
Accepted: 2025-06-21
Published Online: 2025-07-10

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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