Researching | A Reinforcement Learning based Adaptive and Efficient RWA in All Optical Networks

Study On Optical Communications, Volume. 50, Issue 5, 24002401(2024)

A Reinforcement Learning based Adaptive and Efficient RWA in All Optical Networks

Zhaoyang LIU and Bitao PAN^*

Author Affiliations

School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

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References (18)

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Figures & Tables(5)

Fig. 1. The basic principle of ADE-RWA

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Fig. 2. Flow diagram of ADE-RWA algorithm based on DRL

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Fig. 3. The topology of Cost239

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Fig. 4. The experimental results

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Table 1. The test results of computational costs
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Table 1. The test results of computational costs
算法服务1 000个请求所需时间/s
DeepRMSA 22
ADE-RWA LUT寻路阶段 1

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Zhaoyang LIU, Bitao PAN. A Reinforcement Learning based Adaptive and Efficient RWA in All Optical Networks[J]. Study On Optical Communications, 2024, 50(5): 24002401

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Paper Information

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Received: Feb. 3, 2024

Accepted: --

Published Online: Oct. 15, 2024

The Author Email: PAN Bitao (bitao.pan@bupt.edu.cn)

DOI:10.13756/j.gtxyj.2024.240024

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology