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Signal Processing for Next-Generation Optical Communications and Networks

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".

Deadline for manuscript submissions: 31 August 2024 | Viewed by 3053

Special Issue Editors

Key Lab of Optical Fiber Sensing and Communications, Ministry of Education, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: optical signal processing; photonic neural networks; satellite communication
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Aston Institute of Photonic Technologies, School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK
Interests: optical communications; Raman amplification
Special Issues, Collections and Topics in MDPI journals
School of Engineering, University of Warwick, Coventry CV4 7AL, UK
Interests: optical communications; intelligent signal processing; optoelectronics
Special Issues, Collections and Topics in MDPI journals
Faculty of Information Technology and Communication Sciences, Tampere University, 33100 Tampere, Finland
Interests: signal processing; radar and wireless communications

Special Issue Information

Dear Colleagues,

Over 95% of the current estimated digital data traffic is carried over optical communication networks, forming a substantial part of the national and international telecommunication infrastructure. Transmission impairments have significantly limited the performance and information rates of optical communication networks, and they appear to be more significant for systems with higher symbol rates, larger transmission bandwidths, closer channel spacing, and higher-order modulation formats. Intelligent digital signal processing and advanced optical signal processing techniques have been investigated and developed to mitigate transmission distortions in optical links and transceivers. This Special Issue aims to collect original research and review articles on recent advances, technologies, and novel applications in the field of digital and optical signal processing techniques in optical communication systems and networks.

Potential topics include, but are not limited to:

  • Optical communication systems and networks;
  • Free-space optical and visible-light communications;
  • Distributed and lumped optical amplifications;
  • Intelligent digital signal processing;
  • Advanced optical signal processing;
  • Machine leaning and neural networks.

Dr. Feng Wen
Dr. Mingming Tan
Dr. Tianhua Xu
Dr. Bo Tan
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. Sensors 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 2600 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 communication systems
  • optical communication networks
  • free-space optical communications
  • visible-light communications
  • optical signal processing
  • digital signal processing
  • machine learning
  • neural networks

Published Papers (3 papers)

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Research

10 pages, 3786 KiB  
Communication
Analyzing Peak-to-Average Power Ratio Characteristics in Multi-Channel Intensity Modulation and Direct Detection Flexible Transceivers Deploying Inverse Fast Fourier Transform/Fast Fourier Transform-Based Processing
by Lin Chen, Xiaoyu Huang, Wei Jin, Xinyu Wang, Gang Yang, Mingyang Jiang, Yi Huang and Jianming Tang
Sensors 2023, 23(24), 9804; https://doi.org/10.3390/s23249804 - 13 Dec 2023
Viewed by 601
Abstract
Cascaded inverse fast Fourier transform/fast Fourier transform (IFFT/FFT)-based multi-channel aggregation/de-aggregation offers a promising solution in constructing highly desirable flexible optical transceivers for considerably improving optical networks’ elasticity, flexibility, and adaptability. However, the multi-channel aggregation operation unavoidably results in generated signals having high peak-to-average [...] Read more.
Cascaded inverse fast Fourier transform/fast Fourier transform (IFFT/FFT)-based multi-channel aggregation/de-aggregation offers a promising solution in constructing highly desirable flexible optical transceivers for considerably improving optical networks’ elasticity, flexibility, and adaptability. However, the multi-channel aggregation operation unavoidably results in generated signals having high peak-to-average power ratios (PAPRs). To solve this technical challenge, this paper first explores the PAPR characteristics of the corresponding flexible transceivers in optical back-to-back (B2B) and 20 km intensity modulation and direct detection (IMDD) transmission systems, and then numerically investigates the feasibility and effectiveness of utilizing the conventional clipping techniques in reducing their PAPR reductions. The results show that the last IFFT operation size is the primary factor determining the PAPRs rather than the channel count and modulation format. For a given last IFFT operation size, the optimal clipping ratio can be identified, which is independent of channel count. With the identified optimal clipping ratio, when the channel count is >4, every two-channel increase in the channel count can only lead to <1.2 Gb/s decreases in the maximum aggregated signal transmission capacity. Full article
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12 pages, 12728 KiB  
Article
A Free-Space Optical Communication System Based on Bipolar Complementary Pulse Width Modulation
by Jinji Zheng, Xicai Li, Qinqin Wu and Yuanqin Wang
Sensors 2023, 23(18), 7988; https://doi.org/10.3390/s23187988 - 20 Sep 2023
Cited by 1 | Viewed by 755
Abstract
In this work, we propose a bipolar complementary pulse width modulation strategy based on the differential signaling system, and the modulation–demodulation methods are introduced in detail. The proposed modulation–demodulation strategy can effectively identify each symbol’s start and end time so that the transmitter [...] Read more.
In this work, we propose a bipolar complementary pulse width modulation strategy based on the differential signaling system, and the modulation–demodulation methods are introduced in detail. The proposed modulation–demodulation strategy can effectively identify each symbol’s start and end time so that the transmitter and receiver can maintain correct bit synchronization. The system with differential signaling has the advantages of not requiring channel state information and reducing background radiation. To further reduce the noise in the system, a multi-bandpass spectrum noise reduction method is proposed according to the spectrum characteristics of the received modulation signals. The proposed modulation method has an error bit rate of 10−5 at a signal-to-noise ratio of 7 dB. The fabricated optical communication system can stably transfer voice and text over a distance of 5.6 km. Full article
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13 pages, 27484 KiB  
Communication
Semiconductor Optical Amplifier (SOA)-Driven Reservoir Computing for Dense Wavelength-Division Multiplexing (DWDM) Signal Compensation
by Yinke Yang, Huiwen Luo, Rui Zhang, Feng Yang, Baojian Wu, Kun Qiu and Feng Wen
Sensors 2023, 23(12), 5697; https://doi.org/10.3390/s23125697 - 18 Jun 2023
Cited by 1 | Viewed by 1181
Abstract
Optical signal processing (OSP) technology is a crucial part of the optical switching node in the modern optical-fiber communication system, especially when advanced modulation formats, e.g., quadrature amplitude modulation (QAM), are applied. However, the conventional on–off keying (OOK) signal is still widely used [...] Read more.
Optical signal processing (OSP) technology is a crucial part of the optical switching node in the modern optical-fiber communication system, especially when advanced modulation formats, e.g., quadrature amplitude modulation (QAM), are applied. However, the conventional on–off keying (OOK) signal is still widely used in access or metro transmission systems, which leads to the compatibility requirement of OSP for incoherent and coherent signals. In this paper, we propose a reservoir computing (RC)-OSP scheme based on nonlinear mapping behavior through a semiconductor optical amplifier (SOA) to deal with the non-return-to-zero (NRZ) signals and the differential quadrature phase-shift keying (DQPSK) signals in the nonlinear dense wavelength-division multiplexing (DWDM) channel. We optimized the key parameters of SOA-based RC to improve compensation performance. Based on the simulation investigation, we observed a significant improvement in signal quality over 10 dB compared to the distorted signals on each DWDM channel for both the NRZ and DQPSK transmission cases. The compatible OSP achieved by the proposed SOA-based RC could be a potential application of the optical switching node in the complex optical fiber communication system, where incoherent and coherent signals meet. Full article
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