JOURNAL ARTICLE

Fuzzy Logic Scheduler to Enhance User Equity in Cellular Networks.

  • Published In: Journal of Multiple-Valued Logic & Soft Computing, 2025, v. 46, n. 2-4. P. 363 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: KHALIQ, ABDUL; ASHRAF, ATHER 3 of 3

Abstract

This paper proposes a fuzzy-based user equity scheduler (FUES) to prioritize traffic according to a plan through a dynamic fuzzy inference system. The fuzzy logic engine uses fuzzy rule reasoning to define packet priorities. The priority is proportional to traffic types that are more likely to miss their Quality of Service (QoS) requirements and have poor channel conditions. Simulations are used to compare and analyze our proposed scheduler FUES with six other scheduling methods based on fairness and performance metrics. Overall, the proposed scheduler exhibits superior fairness and performance compared to other methods, although there may be specific scenarios where other methods do not excel. This suggests that proposed scheduler ‘FUES’ provides a more balanced scheduling approach. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Multiple-Valued Logic & Soft Computing. 2025/11, Vol. 46, Issue 2-4, p363
  • Document Type:Article
  • Subject Area:Engineering
  • Publication Date:2025
  • ISSN:15423980
  • Accession Number:190289496
  • Copyright Statement:Copyright of Journal of Multiple-Valued Logic & Soft Computing is the property of Old City Publishing, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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