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Photonics
Special Issues
Optical Performance Monitoring
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Optical Performance Monitoring

A special issue of Photonics (ISSN 2304-6732).

Deadline for manuscript submissions: closed (10 September 2023) | Viewed by 2148

Special Issue Editors

Dr. Lin Jiang

E-Mail Website1 Website2
Guest Editor
School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China
Interests: optical performance monitoring; ultra-high capacity and ultra-long-distance transoceanic transmission; secure optical fiber communication
Dr. Dawei Wang

E-Mail Website1 Website2
Guest Editor
School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510275, China
Interests: optical performance monitoring; quantum communication

Special Issue Information

Dear Colleagues,

In recent years, both the capacity and spectral efficiency of optical networks have been significantly improved to meet the demands for ever-growing emerging services such as big data, cloud computing, streaming video, Internet of Things, machine-to-machine communication, remote surgery and so on. The next-generation elastic optical networks are envisioned to be more elastic and cognitive, which could dynamically adjust different transceiver and network element parameters, such as modulation formats, signal bandwidth, data rate, transmission wavelength, signal power, etc., to maximize the efficiency of network resources according to different transmission link conditions and network operating demands. To achieve the reliable operation and efficient management of such optical networks, it would be essential to obtain incremental information such as transmission parameters (modulation formats, optical signal-to-noise ratio (OSNR), symbol rate, etc.), transmission impairments (chromatic dispersion (CD), nonlinearity impairments, polarization mode dispersion, polarization-dependent loss, etc.). Therefore, optical performance monitoring (OPM) as a key enabling technology for elastic optical networks has been playing an increasingly important role in terms of realizing reliable network operation.

This Special Issue invites manuscripts that introduce the recent advances in “Optical Performance Monitoring”. All theoretical, numerical, and experimental papers are accepted. Topics include, but are not limited to, the following:

  • Transmission parameters (modulation formats, optical signal-to-noise ratio (OSNR), and symbol rate, etc.) monitoring;
  • Transmission impairments (chromatic dispersion, nonlinearity impairments, polarization mode dispersion, and polarization dependent loss, etc.) monitoring;
  • Linear and nonlinear noise estimation;
  • Physical layer model for QoT estimation;
  • Machine learning for QoT estimation.

Dr. Lin Jiang
Dr. Dawei Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Photonics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • optical performance monitoring
  • machine learning
  • impairments monitoring
  • QoT estimation
  • modulation formats identification
  • OSNR monitoring

Published Papers (2 papers)

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Research

16 pages, 4280 KiB  
Article
Modulation Format Identification Based on Multi-Dimensional Amplitude Features for Elastic Optical Networks
by Ming Hao, Wei He, Xuedong Jiang, Shuai Liang, Wei Jin, Lin Chen and Jianming Tang
Photonics 2024, 11(5), 390; https://doi.org/10.3390/photonics11050390 - 23 Apr 2024
Viewed by 289
Abstract
A modulation format identification (MFI) scheme based on multi-dimensional amplitude features is proposed for elastic optical networks. According to the multi-dimensional amplitude features, incoming polarization division multiplexed (PDM) signals can be identified as QPSK, 8QAM, 16QAM, 32QAM, 64QAM and 128QAM signals using the [...] Read more.
A modulation format identification (MFI) scheme based on multi-dimensional amplitude features is proposed for elastic optical networks. According to the multi-dimensional amplitude features, incoming polarization division multiplexed (PDM) signals can be identified as QPSK, 8QAM, 16QAM, 32QAM, 64QAM and 128QAM signals using the k-nearest neighbors (KNNs) algorithm in the digital coherent receivers. The proposed scheme does not require any prior training or optical signal-to-noise ratio (OSNR) information. The performance of the proposed MFI scheme is verified based on numerical simulations with 28GBaud PDM-QPSK/-8QAM/-16QAM/-32QAM/-64QAM/-128QAM signals. The results show that the proposed scheme can achieve 100% of the correct MFI rate for all six modulation formats when the OSNR values are greater than their thresholds corresponding to the 20% forward error correction (FEC) related to a BER of 2.4 × 10−2. Meanwhile, the effects of residual chromatic dispersion, polarization mode dispersion and fiber nonlinearities on the proposed scheme are also explored. Finally, the computational complexity of the proposed scheme is analyzed, which is compared with relevant MFI schemes. The work indicates that the proposed technique could be regarded as a good candidate for identifying modulation formats up to 128QAM. Full article
(This article belongs to the Special Issue Optical Performance Monitoring)
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21 pages, 8421 KiB  
Article
Low-Complexity Modulation Format Identification Based on Amplitude Histogram Distributions for Digital Coherent Receivers
by Ming Hao, Xuedong Jiang, Xingzhong Xiong, Roger Giddings, Wei He and Jianming Tang
Photonics 2023, 10(4), 472; https://doi.org/10.3390/photonics10040472 - 20 Apr 2023
Cited by 1 | Viewed by 1265
Abstract
In this work, a prior-training-free and low-complexity modulation format identification (MFI) scheme, based on amplitude histogram distributions, was proposed and demonstrated, both numerically and experimentally, for autonomous digital coherent receivers. In the proposed scheme, after having performed power normalization, incoming polarization division multiplexed [...] Read more.
In this work, a prior-training-free and low-complexity modulation format identification (MFI) scheme, based on amplitude histogram distributions, was proposed and demonstrated, both numerically and experimentally, for autonomous digital coherent receivers. In the proposed scheme, after having performed power normalization, incoming polarization division multiplexed (PDM) signals were classified into QPSK, 8QAM, 16QAM, 32QAM and 64QAM signals, according to their ratios. Ratios were defined according to specific features of their amplitude histograms. The proposed MFI scheme used only amplitude information. As such, it was insensitive to carrier phase noise. Furthermore, the proposed scheme did not require any prior information, such as optical signal-to-noise ratio (OSNR). The performance of the proposed MFI scheme was numerically verified using 28GBaud PDM-QPSK/-8QAM/-16QAM/-32QAM/-64QAM signals. The numerical simulation results showed that the proposed scheme was able achieve a 100% correct identification rate for all five modulation formats when their OSNR values were higher than the thresholds corresponding to the 20% FEC correcting bit error rate (BER) of 2.4 × 10−2. To further explore the effectiveness of the proposed MFI scheme, proof-of-concept experiments in 28GBaud PDM-QPSK/-8QAM/-16QAM, and 21.5GBaud PDM-32QAM transmission systems were also undertaken, which showed that the proposed scheme as robust against fiber nonlinearities. To explore the scheme’s feasibility for use in practical transmission systems, the computational complexity analysis of the proposed scheme was conducted. It showed that, compared with relevant MFI schemes, the proposed MFI scheme was able to significantly reduce the computational complexity. Full article
(This article belongs to the Special Issue Optical Performance Monitoring)
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