Fairness optimized based DBA for long reach XGPON networks
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Mehul C. Patel
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A.S. Mandloi
Abstract
The evaluation of the next-generation XGPON network involves assessing parameters like bandwidth utilization, packet loss, and queuing delays, all of which impact on efficient upstream bandwidth allocation. In a condition of heavy traffic load, one ONU trying to monopolizing bandwidth utilization for itself, and lead to disadvantaging others. This issue is exacerbated by long distances in extended-reach XGPON networks, causing redundant bandwidth requests, lead to higher queuing delays at others ONUs. To address this, a proposed game-theoretic model is introduce, to ensure fair bandwidth distribution while maintaining Quality of Service parameters, load fairness, delay fairness. The performance of the proposed DBA, tested alongside the XGIANT DBA using the NS3 simulator, and demonstrates improved fairness that validates the proposed DBA’s effectiveness.
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Research ethics: Copyright laws are respected.
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Informed consent: Not applicable.
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Author contributions: All authors have contributed equally to this paper. Corresponding author has accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None Declared.
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Conflict of interest: The authors states no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
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