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Effective Spectrum Utilization–based analysis of fragmentation aware spectrum allocation in elastic optical network

  • Vasundhara EMAIL logo , Amit Kumar and Abhilash Mandloi
Published/Copyright: September 26, 2025
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Abstract

This paper presents an innovative resource allocation strategy for Multi-Core Fiber (MCF)-based Space Division Multiplexing (SDM) enabled Elastic Optical Networks (EON). The methodology incorporates crosstalk (XT)-aware spectrum slice allocation, dynamic core selection, and Effective Spectrum Utilization (ESU) to alleviate intercore interference while guaranteeing efficient resource utilization and scalability. The method minimizes fragmentation and maintains transmission quality by adaptively balancing spectral and spatial resources, even amid fluctuating traffic demands. Simulation results on benchmark topologies indicate significant performance enhancements: the Bandwidth Blocking Probability (BBP) improves by 13.33 % for NSFNET and 6.66 % for USNET, while fragmentation reduction achieves 23 % and 22.22 %, respectively. Moreover, the Connection Acceptance Success Ratio (CASR) increases by 2.02 % for NSFNET and 1.41 % for USNET. These results validate the efficacy of the proposed scheme in improving resource utilization, network performance, and scalability in SDM-EON.


Corresponding author: Vasundhara, Department of Electronics Engineering, SVNIT-SURAT, Ichchhanath, Surat, 395007, Gujrat, India; and School of Computer Science, UPES, Bidholi, Dehradun, 248007, Uttarakhand, India, E-mail:
Abhilash Mandloi contributed equally to this work.
  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: The research work has not been carried by funding.

  7. Data availability: Data is avalaible on request.

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Received: 2025-07-16
Accepted: 2025-08-18
Published Online: 2025-09-26

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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