A Conditional Generative Adversarial Network aided Few-mode Fiber Channel Modeling for large-capacity optical fiber communication-Reference-Cited by-同舟云学术

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A Conditional Generative Adversarial Network aided Few-mode Fiber Channel Modeling for large-capacity optical fiber communication

Published:2023-07-31 Issue: Volume: Page:
ISSN:
Container-title:2023 21st International Conference on Optical Communications and Networks (ICOCN)
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Author:

Yuan Mengzhu¹,Chang Huan¹,Ma Ming¹,Gao Ran¹,Wang Fei¹,Zhang Qi²,Guo Dong¹,Li Zhipei¹,Wang Fu²,Huang Xin³

Affiliation:

1. Beijing Institute of Technology,School of Information and Electronics,Beijing,China,100081

2. Beijing University of Posts and Telecommunications,School of Electronic Engineering,Beijing,China,100876

3. Ultra-high Speed Communication Laboratory, YTS-BIT Joint-Lab,ShangHai,China,200135

Funder

Ministry of Science and Technology

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10235976/10235997/10236403.pdf?arnumber=10236403

Reference6 articles.

1. Transformer-Based Long Distance Fiber Channel Modeling for Optical OFDM Systems

2. Optical Fiber Channel Modeling Method Using Multi-BiLSTM for PM-QPSK Systems

3. Data-Driven Method for Nonlinear Optical Fiber Channel Modeling Based on Deep Neural Network

4. Enhancing CNN for Forensics Age Estimation Using CGAN and Pseudo-Labelling

5. Nonlinear Propagation in Multimode and Multicore Fibers: Generalization of the Manakov Equations

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