Optical Communication and Networks Facilitating Emerging Applications and Services

A special issue of Photonics (ISSN 2304-6732). This special issue belongs to the section "Optical Communication and Network".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 2260

Special Issue Editors


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Guest Editor
Institute of Telecommunications, AGH University of Science and Technology, 30-059 Kraków, Poland
Interests: software-defined networks; network function virtualization; cloud computing; 5G core networks; emerging network services; and network optimization
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of Telecommunications, AGH University of Science and Technology, 30-059 Kraków, Poland
Interests: design and management of computer and communication networks
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of Telecommunications, AGH University of Science and Technology, 30-059 Kraków, Poland
Interests: multi-layer networks; elastic optical networks; software-defined networks

Special Issue Information

Dear Colleagues,

Emerging network-oriented applications, such as the provisioning of virtualized 5G core networks, edge computing, virtual/augmented reality (VR/AR), robotics, the Internet of Vehicles (IoVs), telemedicine, or smart applications with the aid of artificial intelligence/machine learning (AI/ML), produce a massive volume of data traffic that requires extremely high-speed connectivity, reliable transmissions, and low latencies.  

These requirements cannot be met without the proper support of optical networks. Currently, optical networks and systems are widely available, but the optimal and application-aware usage of their capabilities is strongly limited. For example, it is currently not possible to dynamically provision optical resources according to changing conditions and requirements.

This problem requires comprehensive and in-depth studies that cover numerous layers and aspects of end-to-end communications. The heterogeneity of applications further complicates the problem and creates a need to study a wide range of use cases and scenarios. Such a complex environment cannot be easily modeled and simulated.

We cordially invite original contributions focused on the applications and services that can take advantage of optical networks. Topics of interest include but are not limited to:

  • Application-aware optical network design and optimization;
  • Quality of experience of emerging applications offered through optical networks;
  • Emerging, network-based, applications provisioned through optical networks: advantages and challenges;
  • Optical network slicing;
  • Softwarization and virtualization of optical networks;
  • Integration between optical and mobile networks;
  • Optical interconnectivity for distributed computing;
  • Elastic optical networks;
  • Dynamic reconfiguration of optical networks for the purpose of emerging applications;
  • Monitoring of optical networks, including monitoring of transmission parameters (modulation formats, optical signal-to-noise ratio (OSNR), symbol rate, etc.) monitoring;
  • Use of AI/ML for improving performance in optical networks;
  • Proof of concept showing usage of optical networks for the purpose of emerging applications.

Prof. Dr. Piotr Boryło
Prof. Dr. Piotr Chołda
Dr. Edyta Biernacka
Guest Editors

Manuscript Submission Information

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Keywords

  • application awareness
  • emerging network applications
  • optical network design and optimization
  • quality of experience
  • network softwarization
  • virtualization
  • dynamic resource provisioning
  • proof of concept
  • optical network monitoring.

Published Papers (2 papers)

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Research

20 pages, 6756 KiB  
Article
Optical Design of a Wavelength Selective Switch Utilizing a Waveguide Frontend with Beamsteering Capability
by Georgios Patsamanis, Dimitra Ketzaki, Dimitrios Chatzitheocharis and Konstantinos Vyrsokinos
Photonics 2024, 11(4), 381; https://doi.org/10.3390/photonics11040381 - 18 Apr 2024
Viewed by 829
Abstract
Wavelength selective switches (WSSs) are essential elements for wavelength division multiplexing (WDM) optical networks, as they offer cost-effective, high port-count and flexible spectral channel switching. This work proposes a new hybrid WSS architecture that leverages the beam shaping and steering features of uniform [...] Read more.
Wavelength selective switches (WSSs) are essential elements for wavelength division multiplexing (WDM) optical networks, as they offer cost-effective, high port-count and flexible spectral channel switching. This work proposes a new hybrid WSS architecture that leverages the beam shaping and steering features of uniform silicon nitride-based end-fire optical phased arrays (OPAs). By introducing beamforming to a WSS system, the spectral channels on the liquid crystal on silicon (LCoS) panel can be tailored and arranged properly, depending on the optical configuration, using the beam control capabilities of OPAs. Combining 3D-FDTD and ray tracing simulations, the study shows that, by reducing the input beam dimensions with proper sizing of the OPAs, the WSS design with a null-steering OPA layout and 4 × No switch size features increased spectral resolution. This extensive beamforming study on the steering-enabled layout reveals the acquirement of an even higher input channel number, matching the 8 × No WSS scheme, with flexible channel routing on the LCoS panel. Such implementation of beamsteerers can unlock an extra degree of freedom for the switching capabilities of hybrid WSS devices. The results show great promise for the introduction of OPAs in WSS systems and provide valuable insight for the design of future wireless communication links and WDM systems. Full article
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13 pages, 4286 KiB  
Article
A Deep-Learning-Based Method for Optical Transmission Link Assessment Applied to Optical Clock Comparisons
by Sibo Gui, Meng Shi, Zhaolong Li, Haitao Wu, Quansheng Ren and Jianye Zhao
Photonics 2023, 10(8), 920; https://doi.org/10.3390/photonics10080920 - 10 Aug 2023
Cited by 1 | Viewed by 858
Abstract
We apply the Empirical Mode Decomposition (EMD) algorithm and the Time Convolutional Network (TCN) structure, predicated on Convolutional Neural Networks, to successfully enable feature extraction within high-precision optical time-frequency signals, and provide effective identification and alerts for abnormal link states. Experimental validation confirms [...] Read more.
We apply the Empirical Mode Decomposition (EMD) algorithm and the Time Convolutional Network (TCN) structure, predicated on Convolutional Neural Networks, to successfully enable feature extraction within high-precision optical time-frequency signals, and provide effective identification and alerts for abnormal link states. Experimental validation confirms that the proposed method not only delivers an efficacy on par with traditional manual techniques, but also excels in swiftly identifying anomalies that typically elude conventional approaches. This investigation furnishes novel theoretical backing and forecasting tools for high-precision optical transmission. Full article
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