Deep Neural Network-enabled Fast and Large-Scale QoT Estimation for Dynamic C+L-Band Mesh Networks-Reference-Cited by-同舟云学术

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Deep Neural Network-enabled Fast and Large-Scale QoT Estimation for Dynamic C+L-Band Mesh Networks

Published:2023-03 Issue: Volume: Page:
ISSN:
Container-title:2023 Optical Fiber Communications Conference and Exhibition (OFC)
language:
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Author:

Zhang Yao¹,Song Yuchen¹,Shi Yan²,Li Jin¹,Zhang Chuanbiao³,Tang Yu³,Zhang Min¹,Wang Danshi¹

Affiliation:

1. Beijing University of Posts and Telecommunications (BUPT),State Key Laboratory of Information Photonics and Optical Communications,Beijing,China,100876

2. China Unicom Research Institute,Beijing,China,100044

3. China United Network Communications Group Company Limited,Beijing,China,100044

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115459/10115461/10116740.pdf?arnumber=10116740

Reference9 articles.

1. Wavelength Assignment

2. Routing, Modulation and Spectrum Allocation in Elastic Optical Networks

3. The LOGON Strategy for Low-Complexity Control Plane Implementation in New-Generation Flexible Networks

4. Ultrawideband Systems and Networks: Beyond C + L-Band

5. Concatenated GSNR Profiles for End-to-End Performance Estimations in Disaggregated Networks

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