ACO-RMSA: Improving QoT-Aware Resource Allocation in Elastic Optical Networks via Adaptive Ant Colony Optimization

We propose ACO-RMSA, an adaptive ant colony optimization approach for QoT-aware resource allocation in elastic optical networks. Compared to traditional algorithms, our method increases network throughput while reducing blocking probability by up to 94 %.

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Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11110333
Primary Topic
Advanced Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

ACO-RMSA: Improving QoT-Aware Resource Allocation in Elastic Optical Networks via Adaptive Ant Colony Optimization

Jie Zhang, Xun Zhou, Yixin Wang, Xiaogang Wang et al.
Advanced Optical Network Technologies
article

ACO-RMSA: Improving QoT-Aware Resource Allocation in Elastic Optical Networks via Adaptive Ant Colony Optimization

Jie Zhang, Xun Zhou, Yixin Wang, Xiaogang Wang, Haojie Wang, Fei Lin
article en

Abstract

We propose ACO-RMSA, an adaptive ant colony optimization approach for QoT-aware resource allocation in elastic optical networks. Compared to traditional algorithms, our method increases network throughput while reducing blocking probability by up to 94 %.

Beijing University of Posts and Telecommunications (CN), Wuhan Municipal Engineering Design & Research Institute (CN), State Key Laboratory of Information Photonics and Optical Communications
Beijing Association for Science and Technology
Decent work and economic growth
Openalex Percentile: Top 80%
Advanced Optical Network Technologies
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