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Photonics
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Intelligent Optical Network
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Intelligent Optical Network

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

Deadline for manuscript submissions: closed (15 January 2023) | Viewed by 1520

Special Issue Editor

Dr. Ji Zhou

E-Mail Website
Guest Editor
Department of Electronic Engineering, College of Information Science and Technology, Jinan University, Guangzhou 510632, China
Interests: optic-fiber communications; passive optical networks; optical interconnects; optical-wireless communications

Special Issue Information

Dear Colleagues,

The growing bandwidth demands have been driving the development of telecommunication networks for a very long time. Optical networks are evolving at an unprecedented speed and shifting from core and metro networks to access networks. Intelligent optical networks (IONs) can be regarded as a representative of next-generation optical networks. IONs adapt to the explosive growth of data traffic, caused by the burgeoning development of the Internet, Internet of Things, and many other applications. In addition to the ability to establish fast connections and carry large-volume traffic at high speed, high reliability, and low power dissipation, IONs can also realize intelligent functions such as communication and sensing integration, automatic network resource allocation and management, network performance monitoring, fault prevention, and so on.

To meet these requirements, a significant amount of research has been carried out in the fields of optical networks, signal processing, and components and devices, covering fiber optics, photonics, digital signal processing, artificial intelligence for optics, etc. In this Special Issue, we invite contributions on the latest advances related to IONs studies. We welcome both theoretical and experimental ION research, as well as comprehensive reviews and investigations, including but not limited to the following aspects: optical communications, optical sensing, optical interconnects, optical access networks, digital signal processing, artificial intelligence for optics, optical components and devices, etc.

Dr. Ji Zhou
Guest Editor

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

  • intelligent optical network
  • optical communications
  • optical sensing
  • optical interconnects
  • optical access networks
  • digital signal processing
  • photonics
  • artificial intelligence

Published Papers (1 paper)

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Research

17 pages, 4238 KiB  
Article
Routing and Timeslot Scheduling for SPN Fine-Granularity Slices
by Rentao Gu, Yuqi Xue, Yong Zhang, Zixuan Wang, Hao Zhang, Yi Yang, Yan Li and Yuefeng Ji
Photonics 2023, 10(2), 126; https://doi.org/10.3390/photonics10020126 - 27 Jan 2023
Cited by 1 | Viewed by 1270
Abstract
The integration of 5G and vertical industries promotes the development of the energy Ethernet while putting forward fine granularity, flexibility, high reliability, and deterministic low-latency service requirements for the smart grid and the ubiquitous power Internet of Things (UPIoT). As the bearer architecture [...] Read more.
The integration of 5G and vertical industries promotes the development of the energy Ethernet while putting forward fine granularity, flexibility, high reliability, and deterministic low-latency service requirements for the smart grid and the ubiquitous power Internet of Things (UPIoT). As the bearer architecture supporting the next-generation optical transmission network, the Slicing Packet Network (SPN) slice granularity decreases from 5 Gbps to 10 Mbps fine granularity and the frame period of 5 Gbps large-granularity slices is short, so the non-deterministic delay caused by timeslot conflicts has a negligible impact on the end-to-end delay, and the timeslot scheduling is unnecessary. However, due to the reduction in timeslot granularity and the change in frame structure in 10 Mbps slices, the scheduling of conflicting timeslots and the complex device computing management problems need to be solved urgently. In this paper, we establish a model of routing embedded timeslot scheduling for the routing of fine-granularity slices and timeslot scheduling problems in SPN-based FlexE interfaces, for which we propose a deterministic timeslot allocation mechanism supporting end-to-end low-latency transmission. According to the timeslot symmetry, the mechanism can reduce the space of feasible solutions through ant colony optimization and unidirectional neighborhood search (ACO-UNS), so as to efficiently solve the scheduling of conflicting timeslots and provide end-to-end delay guarantee for delay-sensitive services. Finally, we make a comparison between the ACO-UNS algorithm and the timeslot random dispatching algorithm (ACO-RD); the results show that, relative to the ACO-RD, the reduction in the proposed ACO-UNS is 98.721% for the end-to-end delay of fine-granularity slices. Full article
(This article belongs to the Special Issue Intelligent Optical Network)
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