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Electronics
Special Issues
High-Speed Optical Communication and Information Processing
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High-Speed Optical Communication and Information Processing

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Optoelectronics".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 3135

Special Issue Editors

Prof. Dr. Qi Zhang

E-Mail Website
Guest Editor
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Haidian District, Beijing 100876, China
Interests: optical access network; optical fiber communication; satellite communication
Prof. Dr. Gao Ran

E-Mail Website
Guest Editor
School of Information and Electronics, Beijing Institute of Technology, Beijing 100811, China
Interests: optical fiber communication; optical fiber sensing technology
Special Issues, Collections and Topics in MDPI journals
Dr. Fu Wang

E-Mail Website
Guest Editor
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: optical switching network; optical access; earth fusion network
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid development of the Internet and mobile Internet and emergence of a variety of over-the-top (OTT) applications such as WeChat and QQ, human demand for information has expanded dramatically, and the volume of voice, data, and video services continues to explode, with massive amounts of multimedia information needing to be transmitted, exchanged, and stored. In order to meet the growing bandwidth requirements of communication networks, it is imperative to develop fiber optic communication systems with ultra-high speed, ultra-long distance, large capacity, and ultra-high-frequency spectral efficiency. However, with the high-speed expansion of the optical communication network capacity, information processing capacity requirements continue to increase; optical wavelength division multiplexing, frequency division multiplexing, and orthogonal frequency division multiplexing densities continue to increase; and in the high-density communication band, how to maximize the single-channel-per-carrier transmission capacity to make it close to the Shannon limit has become a research hotspot.

This section encourages more extensive analysis and innovative thinking on high-speed optical communication and signal processing technologies, including light generation as well as the transmission, control, and detection of optical paths.

Original research articles and reviews are welcome for submission to this Special Issue. Research areas may include (but are not limited to) the following:

optical waveform generation techniques, constellation shaping techniques, channel nonlinear compensation algorithms, higher-order modulation techniques, high-spectral-efficiency optical multi-dimensional modulation techniques, modulation format identification techniques, and channel equalization.

I/We look forward to receiving your contributions. 

Prof. Dr. Qi Zhang
Prof. Dr. Ran Gao
Dr. Fu 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. Electronics is an international peer-reviewed open access semimonthly 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 waveform generation
  • constellation shaping
  • channel equalization
  • nonlinear compensation
  • modulation format identification
  • higher-order modulation
  • multi-dimensional modulation

Published Papers (3 papers)

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Research

15 pages, 3567 KiB  
Article
End-to-End Deep Learning of Joint Geometric Probabilistic Shaping Using a Channel-Sensitive Autoencoder
by Yuzhe Li, Huan Chang, Ran Gao, Qi Zhang, Feng Tian, Haipeng Yao, Qinghua Tian, Yongjun Wang, Xiangjun Xin, Fu Wang and Lan Rao
Electronics 2023, 12(20), 4234; https://doi.org/10.3390/electronics12204234 - 13 Oct 2023
Viewed by 944
Abstract
In this paper, we propose an innovative channel-sensitive autoencoder (CSAE)-aided end-to-end deep learning (E2EDL) technique for joint geometric probabilistic shaping. The pretrained conditional generative adversarial network (CGAN) is introduced in the CSAE which performs differentiable substitution of the optical fiber channel model under [...] Read more.
In this paper, we propose an innovative channel-sensitive autoencoder (CSAE)-aided end-to-end deep learning (E2EDL) technique for joint geometric probabilistic shaping. The pretrained conditional generative adversarial network (CGAN) is introduced in the CSAE which performs differentiable substitution of the optical fiber channel model under variable input optical power (IOP) levels. This enables the CSAE-aided E2EDL to design optimal joint geometric probabilistic shaping schemes for optical fiber communication systems at varying IOPs. The results of the proposed CSAE-aided E2EDL technique show that for a dual-polarization 64-Gbaud signal with a transmission distance of 5 × 80 km, when the modulation format is a 64-quadrature amplitude modulation (QAM) or a 128-QAM, the maximum generalized mutual information (GMI) level learned via CSAE-aided E2EDL is 5.9826 or 6.8384 bits/symbol under varying IOPs, respectively. In addition, the pretrained CGAN, as a substitution for optical fiber transmission model, accurately characterizes the distortion of signals with different IOPs, with an average bit error ratio (BER) difference of only 1.83%, an average mean square error (MSE) of 0.0041 and an average K-L divergence of 0.0046. In summary, this paper delivers new insights into the application of E2EDL and demonstrates the feasibility of joint geometric probabilistic shaping-based E2EDL for fiber optic communication systems with varying IOPs. Full article
(This article belongs to the Special Issue High-Speed Optical Communication and Information Processing)
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13 pages, 9344 KiB  
Article
Unscented Kalman Filter with Joint Decision Scheme for Phase Estimation in Probabilistically Shaped QAM Systems
by Yuan Gao, Zhipei Li, Dong Guo, Ze Dong, Lei Zhu, Huan Chang, Sitong Zhou, Yongjun Wang, Qinghua Tian, Feng Tian and Leijing Yang
Electronics 2023, 12(19), 4075; https://doi.org/10.3390/electronics12194075 - 28 Sep 2023
Viewed by 718
Abstract
A carrier phase estimation method based on the unscented Kalman filter (UKF) is proposed for probabilistically shaped (PS) quadrature amplitude modulation (QAM) systems. We further integrate a joint decision scheme into the proposed UKF−based algorithm to prevent the correlated erroneous decisions in the [...] Read more.
A carrier phase estimation method based on the unscented Kalman filter (UKF) is proposed for probabilistically shaped (PS) quadrature amplitude modulation (QAM) systems. We further integrate a joint decision scheme into the proposed UKF−based algorithm to prevent the correlated erroneous decisions in the phase recovery scheme caused by the impact of PS. The proposed method achieves the performance benefit for PS constellations in optical transmissions by partitioning the constellation symbols suitably and utilizing both the maximum a posterior probability (MAP) and maximum likelihood (ML) detection. The results of numerical simulation and experimental verification reveal that the proposed method performs better than the conventional CPR algorithms in PS systems. Full article
(This article belongs to the Special Issue High-Speed Optical Communication and Information Processing)
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12 pages, 2150 KiB  
Article
Low-Complexity Pruned Convolutional Neural Network Based Nonlinear Equalizer in Coherent Optical Communication Systems
by Xinyu Liu, Chao Li, Ziyun Jiang and Lu Han
Electronics 2023, 12(14), 3120; https://doi.org/10.3390/electronics12143120 - 18 Jul 2023
Cited by 2 | Viewed by 1084
Abstract
Nonlinear impairments caused by devices and fiber transmission links in a coherent optical communication system can severely limit its transmission distance and achievable capacity. In this paper, we propose a low-complexity pruned-convolutional-neural-network-(CNN)-based nonlinear equalizer, to compensate nonlinear signal impairments for coherent optical communication [...] Read more.
Nonlinear impairments caused by devices and fiber transmission links in a coherent optical communication system can severely limit its transmission distance and achievable capacity. In this paper, we propose a low-complexity pruned-convolutional-neural-network-(CNN)-based nonlinear equalizer, to compensate nonlinear signal impairments for coherent optical communication systems. By increasing the size of the effective receptive field with an 11 × 11 large convolutional kernel, the performance of feature extraction for CNNs is enhanced and the structure of the CNN is simplified. And by performing the channel-level pruning algorithm, to prune the insignificant channels, the complexity of the CNN model is dramatically reduced. These operations could save the important component of the CNN model and reduce the model width and computation amount. The performance of the proposed CNN-based nonlinear equalizer was experimentally evaluated in a 120 Gbit/s 64-quadrature-amplitude-modulation (64-QAM) coherent optical communication system over 375 km of standard single-mode fiber (SSMF). The experimental results showed that, compared to a CNN-based nonlinear equalizer with a 6 × 6 normal convolutional kernel, the proposed CNN-based nonlinear equalizer with an 11 × 11 large convolutional kernel, after channel-level pruning, saved approximately 15.5% space complexity and 43.1% time complexity, without degrading the equalization performance. The proposed low-complexity pruned-CNN-based nonlinear equalizer has great potential for application in realistic devices and holds promising prospects for coherent optical communication systems. Full article
(This article belongs to the Special Issue High-Speed Optical Communication and Information Processing)
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