A learning-based dynamic routing and spectrum allocation algorithm in satellite elastic optical networks

Hai Li; Yongjun Li; Shanghong Zhao; Zihang Zhu

doi:10.1117/12.3023873

18 March 2024 A learning-based dynamic routing and spectrum allocation algorithm in satellite elastic optical networks

Hai Li, Yongjun Li, Shanghong Zhao, Zihang Zhu

Proceedings Volume 13104, Advanced Fiber Laser Conference (AFL2023); 131046V (2024) https://doi.org/10.1117/12.3023873
Event: Advanced Fiber Laser Conference (AFL2023), 2023, Shenzhen, China

Abstract

A learning-based dynamic routing and spectrum allocation algorithm (L-DRSA) is proposed for the satellite elastic optical network. In the routing selection stage, L-DRSA selects the routing path with the highest long term benefits based on the deep reinforcement learning algorithm. In the spectrum allocation stage, the spectrum is allocated greedily with the aim of minimizing the spectrum fragmentation of the network. Finally, several simulation experiments were conducted to evaluate the performance of the L-DRSA and the results demonstrate that our proposed algorithm outperforms than the baseline algorithms.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hai Li, Yongjun Li, Shanghong Zhao, and Zihang Zhu "A learning-based dynamic routing and spectrum allocation algorithm in satellite elastic optical networks", Proc. SPIE 13104, Advanced Fiber Laser Conference (AFL2023), 131046V (18 March 2024); https://doi.org/10.1117/12.3023873

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