Nonlinear Impairment-Aware RMSA Under the Sliding Scheduled Traffic Model for EONs Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Nonlinear Impairment-Aware RMSA Under the Sliding Scheduled Traffic Model for EONs Based on Deep Reinforcement Learning

Published:2023-11-15 Issue:22 Volume:41 Page:6854-6864
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

Zou Yucong¹^ORCID,Cai Xiaofeng²^ORCID,Zhu Min²^ORCID,Gu Jiahua²^ORCID,Wang Yunwu²^ORCID,Zhao Guo³^ORCID,Shi Chenglin¹^ORCID,Zhang Jiao²^ORCID,Cai Yuancheng¹^ORCID,Lei Mingzheng¹^ORCID

Affiliation:

1. Purple Mountain Laboratories, Nanjing, China

2. National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

3. Nanjing Wasin Fujikura Optical Communication LTD, Nanjing, China

Funder

National Natural Science Foundation of China

Key Research and Development Program of Jiangsu Province

Major Key Project of Peng Cheng Laboratory

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/50/10319284/10195946.pdf?arnumber=10195946

Reference28 articles.

1. Crosstalk-Aware Routing, Core, and Spectrum Assignment with Core Switching in SDM-EONs

2. On the Cross-Layer Orchestration to Address IP Router Outages With Cost-Efficient Multilayer Restoration in IP-Over-EONs

3. Nonlinear Impairment-Aware Static Resource Allocation in Elastic Optical Networks

4. Eavesdropping-Aware Routing and Spectrum/Code Allocation in OFDM-Based EONs Using Spread Spectrum Techniques

5. Resource Allocation for Flexible-Grid Optical Networks With Nonlinear Channel Model [Invited]

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