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

Mengzhu Yuan; Huan Chang; Ming Ma; Ran Gao; Fei Wang; Qi Zhang; Dong Guo; Zhipei Li; Fu Wang; Xin Huang

doi:10.1109/ICOCN59242.2023.10236403

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

Mengzhu Yuan^*, Huan Chang^*, Ming Ma, Ran Gao, Fei Wang, Qi Zhang, Dong Guo, Zhipei Li, Fu Wang, Xin Huang

^*此作品的通讯作者

信息与电子学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

In this paper, a conditional generative adversarial network (CGAN) aided channel modeling technique is proposed for few-mode fiber (FMF) optical communication. Simulation results demonstrate the proposed CGAN-aided FMF modeling technique achieve an attractive effect on modelling accuracy.

源语言	英语
主期刊名	2023 21st International Conference on Optical Communications and Networks, ICOCN 2023
出版商	Institute of Electrical and Electronics Engineers Inc.
ISBN（电子版）	9798350343502
DOI	https://doi.org/10.1109/ICOCN59242.2023.10236403
出版状态	已出版 - 2023
活动	21st International Conference on Optical Communications and Networks, ICOCN 2023 - Qufu, 中国期限: 31 7月 2023 → 3 8月 2023

出版系列

姓名	2023 21st International Conference on Optical Communications and Networks, ICOCN 2023

会议

会议	21st International Conference on Optical Communications and Networks, ICOCN 2023
国家/地区	中国
市	Qufu
时期	31/07/23 → 3/08/23

访问文件

10.1109/ICOCN59242.2023.10236403

其它文件与链接

链接到 Scopus 的出版物

引用此

Yuan, M., Chang, H., Ma, M., Gao, R., Wang, F., Zhang, Q., Guo, D., Li, Z., Wang, F., & Huang, X. (2023). A Conditional Generative Adversarial Network aided Few-mode Fiber Channel Modeling for large-capacity optical fiber communication. 在 2023 21st International Conference on Optical Communications and Networks, ICOCN 2023 (2023 21st International Conference on Optical Communications and Networks, ICOCN 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOCN59242.2023.10236403

Yuan, Mengzhu ; Chang, Huan ; Ma, Ming 等. / A Conditional Generative Adversarial Network aided Few-mode Fiber Channel Modeling for large-capacity optical fiber communication. 2023 21st International Conference on Optical Communications and Networks, ICOCN 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 21st International Conference on Optical Communications and Networks, ICOCN 2023).

@inproceedings{00b1f329e3994eaeb982f7098114a33e,

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

abstract = "In this paper, a conditional generative adversarial network (CGAN) aided channel modeling technique is proposed for few-mode fiber (FMF) optical communication. Simulation results demonstrate the proposed CGAN-aided FMF modeling technique achieve an attractive effect on modelling accuracy.",

keywords = "Channel modeling, Conditional generative adversarial network, Few mode fiber",

author = "Mengzhu Yuan and Huan Chang and Ming Ma and Ran Gao and Fei Wang and Qi Zhang and Dong Guo and Zhipei Li and Fu Wang and Xin Huang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 21st International Conference on Optical Communications and Networks, ICOCN 2023 ; Conference date: 31-07-2023 Through 03-08-2023",

year = "2023",

doi = "10.1109/ICOCN59242.2023.10236403",

language = "English",

series = "2023 21st International Conference on Optical Communications and Networks, ICOCN 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 21st International Conference on Optical Communications and Networks, ICOCN 2023",

address = "United States",

}

Yuan, M, Chang, H , Ma, M , Gao, R, Wang, F, Zhang, Q, Guo, D , Li, Z, Wang, F & Huang, X 2023, A Conditional Generative Adversarial Network aided Few-mode Fiber Channel Modeling for large-capacity optical fiber communication. 在 2023 21st International Conference on Optical Communications and Networks, ICOCN 2023. 2023 21st International Conference on Optical Communications and Networks, ICOCN 2023, Institute of Electrical and Electronics Engineers Inc., 21st International Conference on Optical Communications and Networks, ICOCN 2023, Qufu, 中国, 31/07/23. https://doi.org/10.1109/ICOCN59242.2023.10236403

A Conditional Generative Adversarial Network aided Few-mode Fiber Channel Modeling for large-capacity optical fiber communication. / Yuan, Mengzhu; Chang, Huan ; Ma, Ming 等.
2023 21st International Conference on Optical Communications and Networks, ICOCN 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 21st International Conference on Optical Communications and Networks, ICOCN 2023).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - A Conditional Generative Adversarial Network aided Few-mode Fiber Channel Modeling for large-capacity optical fiber communication

AU - Yuan, Mengzhu

AU - Chang, Huan

AU - Ma, Ming

AU - Gao, Ran

AU - Wang, Fei

AU - Zhang, Qi

AU - Guo, Dong

AU - Li, Zhipei

AU - Wang, Fu

AU - Huang, Xin

PY - 2023

Y1 - 2023

N2 - In this paper, a conditional generative adversarial network (CGAN) aided channel modeling technique is proposed for few-mode fiber (FMF) optical communication. Simulation results demonstrate the proposed CGAN-aided FMF modeling technique achieve an attractive effect on modelling accuracy.

AB - In this paper, a conditional generative adversarial network (CGAN) aided channel modeling technique is proposed for few-mode fiber (FMF) optical communication. Simulation results demonstrate the proposed CGAN-aided FMF modeling technique achieve an attractive effect on modelling accuracy.

KW - Channel modeling

KW - Conditional generative adversarial network

KW - Few mode fiber

UR - http://www.scopus.com/inward/record.url?scp=85173077209&partnerID=8YFLogxK

U2 - 10.1109/ICOCN59242.2023.10236403

DO - 10.1109/ICOCN59242.2023.10236403

M3 - Conference contribution

AN - SCOPUS:85173077209

T3 - 2023 21st International Conference on Optical Communications and Networks, ICOCN 2023

BT - 2023 21st International Conference on Optical Communications and Networks, ICOCN 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st International Conference on Optical Communications and Networks, ICOCN 2023

Y2 - 31 July 2023 through 3 August 2023

ER -

Yuan M, Chang H , Ma M , Gao R, Wang F, Zhang Q 等. A Conditional Generative Adversarial Network aided Few-mode Fiber Channel Modeling for large-capacity optical fiber communication. 在 2023 21st International Conference on Optical Communications and Networks, ICOCN 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 21st International Conference on Optical Communications and Networks, ICOCN 2023). doi: 10.1109/ICOCN59242.2023.10236403

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

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