Modulation Format Identification for Coherent Optical Communication Systems Based on Long Short-Term Memory Networks

Xingle Chang; Zhipei Li; Qi Zhang; Yuan Gao; Yongjun Wang; Qinghua Tian; Feng Tian; Xiangjun Xin

doi:10.1109/ICOCN55511.2022.9901195

Modulation Format Identification for Coherent Optical Communication Systems Based on Long Short-Term Memory Networks

Xingle Chang, Zhipei Li^*, Qi Zhang, Yuan Gao, Yongjun Wang, Qinghua Tian, Feng Tian, Xiangjun Xin

^*Corresponding author for this work

School of Information and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

In this paper, we proposed a novel and simple modulation format identification scheme based on long shortterm memory neural networks by extracting features from raw IQ data samples. Simulation results show the proposed scheme can effectively classify four widely used modulation formats with high accuracy.

Original language	English
Title of host publication	ICOCN 2022 - 20th International Conference on Optical Communications and Networks
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665458986
DOIs	https://doi.org/10.1109/ICOCN55511.2022.9901195
Publication status	Published - 2022
Event	20th International Conference on Optical Communications and Networks, ICOCN 2022 - Shenzhen, China Duration: 12 Aug 2022 → 15 Aug 2022

Publication series

Name	ICOCN 2022 - 20th International Conference on Optical Communications and Networks

Conference

Conference	20th International Conference on Optical Communications and Networks, ICOCN 2022
Country/Territory	China
City	Shenzhen
Period	12/08/22 → 15/08/22

Keywords

Coherent Optical Communication
Deep Learning
LSTM Networks
Modulation Format Identification

Access to Document

10.1109/ICOCN55511.2022.9901195

Cite this

Chang, X., Li, Z., Zhang, Q., Gao, Y., Wang, Y., Tian, Q., Tian, F., & Xin, X. (2022). Modulation Format Identification for Coherent Optical Communication Systems Based on Long Short-Term Memory Networks. In ICOCN 2022 - 20th International Conference on Optical Communications and Networks (ICOCN 2022 - 20th International Conference on Optical Communications and Networks). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOCN55511.2022.9901195

Chang, Xingle ; Li, Zhipei ; Zhang, Qi et al. / Modulation Format Identification for Coherent Optical Communication Systems Based on Long Short-Term Memory Networks. ICOCN 2022 - 20th International Conference on Optical Communications and Networks. Institute of Electrical and Electronics Engineers Inc., 2022. (ICOCN 2022 - 20th International Conference on Optical Communications and Networks).

@inproceedings{4c0a84bb7652482fa638c587813556c1,

title = "Modulation Format Identification for Coherent Optical Communication Systems Based on Long Short-Term Memory Networks",

abstract = "In this paper, we proposed a novel and simple modulation format identification scheme based on long shortterm memory neural networks by extracting features from raw IQ data samples. Simulation results show the proposed scheme can effectively classify four widely used modulation formats with high accuracy.",

keywords = "Coherent Optical Communication, Deep Learning, LSTM Networks, Modulation Format Identification",

author = "Xingle Chang and Zhipei Li and Qi Zhang and Yuan Gao and Yongjun Wang and Qinghua Tian and Feng Tian and Xiangjun Xin",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 20th International Conference on Optical Communications and Networks, ICOCN 2022 ; Conference date: 12-08-2022 Through 15-08-2022",

year = "2022",

doi = "10.1109/ICOCN55511.2022.9901195",

language = "English",

series = "ICOCN 2022 - 20th International Conference on Optical Communications and Networks",

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

booktitle = "ICOCN 2022 - 20th International Conference on Optical Communications and Networks",

address = "United States",

}

Chang, X, Li, Z, Zhang, Q, Gao, Y, Wang, Y, Tian, Q, Tian, F & Xin, X 2022, Modulation Format Identification for Coherent Optical Communication Systems Based on Long Short-Term Memory Networks. in ICOCN 2022 - 20th International Conference on Optical Communications and Networks. ICOCN 2022 - 20th International Conference on Optical Communications and Networks, Institute of Electrical and Electronics Engineers Inc., 20th International Conference on Optical Communications and Networks, ICOCN 2022, Shenzhen, China, 12/08/22. https://doi.org/10.1109/ICOCN55511.2022.9901195

Modulation Format Identification for Coherent Optical Communication Systems Based on Long Short-Term Memory Networks. / Chang, Xingle; Li, Zhipei; Zhang, Qi et al.
ICOCN 2022 - 20th International Conference on Optical Communications and Networks. Institute of Electrical and Electronics Engineers Inc., 2022. (ICOCN 2022 - 20th International Conference on Optical Communications and Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modulation Format Identification for Coherent Optical Communication Systems Based on Long Short-Term Memory Networks

AU - Chang, Xingle

AU - Li, Zhipei

AU - Zhang, Qi

AU - Gao, Yuan

AU - Wang, Yongjun

AU - Tian, Qinghua

AU - Tian, Feng

AU - Xin, Xiangjun

PY - 2022

Y1 - 2022

N2 - In this paper, we proposed a novel and simple modulation format identification scheme based on long shortterm memory neural networks by extracting features from raw IQ data samples. Simulation results show the proposed scheme can effectively classify four widely used modulation formats with high accuracy.

AB - In this paper, we proposed a novel and simple modulation format identification scheme based on long shortterm memory neural networks by extracting features from raw IQ data samples. Simulation results show the proposed scheme can effectively classify four widely used modulation formats with high accuracy.

KW - Coherent Optical Communication

KW - Deep Learning

KW - LSTM Networks

KW - Modulation Format Identification

UR - http://www.scopus.com/inward/record.url?scp=85141206643&partnerID=8YFLogxK

U2 - 10.1109/ICOCN55511.2022.9901195

DO - 10.1109/ICOCN55511.2022.9901195

M3 - Conference contribution

AN - SCOPUS:85141206643

T3 - ICOCN 2022 - 20th International Conference on Optical Communications and Networks

BT - ICOCN 2022 - 20th International Conference on Optical Communications and Networks

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 20th International Conference on Optical Communications and Networks, ICOCN 2022

Y2 - 12 August 2022 through 15 August 2022

ER -

Chang X, Li Z, Zhang Q, Gao Y, Wang Y, Tian Q et al. Modulation Format Identification for Coherent Optical Communication Systems Based on Long Short-Term Memory Networks. In ICOCN 2022 - 20th International Conference on Optical Communications and Networks. Institute of Electrical and Electronics Engineers Inc. 2022. (ICOCN 2022 - 20th International Conference on Optical Communications and Networks). doi: 10.1109/ICOCN55511.2022.9901195

Modulation Format Identification for Coherent Optical Communication Systems Based on Long Short-Term Memory Networks

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