This paper investigates the practical scalability of wavelength selective switching technology for the emerging multi-band and space-division-multiplexed (SDM) networks. Wavelength selective switching architectures are introduced for multi-band SDM networks. The switching capacity is analyzed for both weakly coupled and strongly coupled SDM networks. Key bottlenecks for scaling up toward multi-band and more spatial modes are identified. Contrary to the conventional view that liquid crystal on silicon (LCOS) was the only technological obstacle, the manufacturability of free-space optics with high numerical apertures and constraints on the optical dimensions also brought significant challenges for the development of highly integrated wavelength selective switches for multi-band SDM networks.
{"title":"Scaling wavelength selective switches for multi-band and space-division-multiplexed networks","authors":"Haoyu Wei;Weixin Chen;Haining Yang","doi":"10.1364/JOCN.531337","DOIUrl":"https://doi.org/10.1364/JOCN.531337","url":null,"abstract":"This paper investigates the practical scalability of wavelength selective switching technology for the emerging multi-band and space-division-multiplexed (SDM) networks. Wavelength selective switching architectures are introduced for multi-band SDM networks. The switching capacity is analyzed for both weakly coupled and strongly coupled SDM networks. Key bottlenecks for scaling up toward multi-band and more spatial modes are identified. Contrary to the conventional view that liquid crystal on silicon (LCOS) was the only technological obstacle, the manufacturability of free-space optics with high numerical apertures and constraints on the optical dimensions also brought significant challenges for the development of highly integrated wavelength selective switches for multi-band SDM networks.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"16 11","pages":"H9-H17"},"PeriodicalIF":4.0,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142397380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper reviews and analyzes multicore-fiber technologies in the context of submarine networks. As global/transcontinental capacity continues to grow at a large and steady pace, the subsea industry is challenged to deliver technologies that provide large-capacity networks in a faster, greener, and cost-effective fashion. Multicore fiber has been considered as a serious candidate for next-generation systems with the ability to maintain standard cable size at large core counts. This paper analyzes the technoeconomics of next-generation submarine systems including variables such as equipment size versus marine cost and other critical elements (not analyzed before, to our knowledge) for submarine system implementation. In this context, this paper also analyzes the state-of-the-art of multicore subsystems and components and discusses their roadmaps, requirements, and evolution toward the realization of a multicore ecosystem for next-generation SDM systems.
{"title":"Multicore-fiber submarine systems","authors":"Eduardo F. Mateo","doi":"10.1364/JOCN.532163","DOIUrl":"https://doi.org/10.1364/JOCN.532163","url":null,"abstract":"This paper reviews and analyzes multicore-fiber technologies in the context of submarine networks. As global/transcontinental capacity continues to grow at a large and steady pace, the subsea industry is challenged to deliver technologies that provide large-capacity networks in a faster, greener, and cost-effective fashion. Multicore fiber has been considered as a serious candidate for next-generation systems with the ability to maintain standard cable size at large core counts. This paper analyzes the technoeconomics of next-generation submarine systems including variables such as equipment size versus marine cost and other critical elements (not analyzed before, to our knowledge) for submarine system implementation. In this context, this paper also analyzes the state-of-the-art of multicore subsystems and components and discusses their roadmaps, requirements, and evolution toward the realization of a multicore ecosystem for next-generation SDM systems.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"16 11","pages":"H1-H8"},"PeriodicalIF":4.0,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142397506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Caio Santos;Abdelrahmane Moawad;Behnam Shariati;Robert Emmerich;Pooyan Safari;Colja Schubert;Johannes K. Fischer
Due to the scarcity of diverse and well-organized public datasets, individual research organizations are often forced to develop and utilize their own datasets. However, the utilization of machine learning (ML) models in optical communications and networks heavily depends on the existence of high-quality datasets, especially covering the various parameters to be optimized in wavelength-division multiplexing (WDM) systems. In this work, we present a public dataset for developing and testing ML models. The dataset is developed in a laboratory setting and includes 12,672 samples including data points with different modulation formats, symbol rates, distances, WDM channel allocation profiles, etc. Each data point offers more than 60 features, revealing almost every aspect of the transmission setup. Moreover, we provide optical spectra of the entire C-band as well as a constellation diagram of the channel under test for all the data points. The diversity and extensiveness of the dataset alongside a well-structured document would allow plenty of use-cases and studies to be carried out covering quality of transmission (QoT) studies, optical spectrum analysis, constellation diagram modeling, digital twin evaluation, etc. Similar to our previous efforts, the current dataset aims to facilitate collaboration by offering a way for fair comparison of research outcomes in data analysis within the domain of optical communication systems.
由于缺乏种类繁多、组织有序的公共数据集,各个研究机构往往不得不开发和利用自己的数据集。然而,机器学习(ML)模型在光通信和网络中的应用在很大程度上依赖于高质量数据集的存在,尤其是涵盖波分复用(WDM)系统中需要优化的各种参数的数据集。在这项工作中,我们提出了一个用于开发和测试 ML 模型的公共数据集。该数据集是在实验室环境中开发的,包含 12672 个样本,包括不同调制格式、符号率、距离、波分复用信道分配情况等数据点。每个数据点提供 60 多个特征,揭示了传输设置的几乎所有方面。此外,我们还为所有数据点提供了整个 C 波段的光学光谱以及被测信道的星座图。数据集的多样性和广泛性以及结构良好的文档将允许开展大量的用例和研究,包括传输质量(QoT)研究、光学频谱分析、星座图建模、数字孪生评估等。与我们之前的工作类似,当前的数据集旨在通过提供一种公平比较光通信系统领域内数据分析研究成果的方法来促进合作。
{"title":"Experimental dataset for developing and testing ML models in optical communication systems","authors":"Caio Santos;Abdelrahmane Moawad;Behnam Shariati;Robert Emmerich;Pooyan Safari;Colja Schubert;Johannes K. Fischer","doi":"10.1364/JOCN.531788","DOIUrl":"https://doi.org/10.1364/JOCN.531788","url":null,"abstract":"Due to the scarcity of diverse and well-organized public datasets, individual research organizations are often forced to develop and utilize their own datasets. However, the utilization of machine learning (ML) models in optical communications and networks heavily depends on the existence of high-quality datasets, especially covering the various parameters to be optimized in wavelength-division multiplexing (WDM) systems. In this work, we present a public dataset for developing and testing ML models. The dataset is developed in a laboratory setting and includes 12,672 samples including data points with different modulation formats, symbol rates, distances, WDM channel allocation profiles, etc. Each data point offers more than 60 features, revealing almost every aspect of the transmission setup. Moreover, we provide optical spectra of the entire C-band as well as a constellation diagram of the channel under test for all the data points. The diversity and extensiveness of the dataset alongside a well-structured document would allow plenty of use-cases and studies to be carried out covering quality of transmission (QoT) studies, optical spectrum analysis, constellation diagram modeling, digital twin evaluation, etc. Similar to our previous efforts, the current dataset aims to facilitate collaboration by offering a way for fair comparison of research outcomes in data analysis within the domain of optical communication systems.","PeriodicalId":50103,"journal":{"name":"Journal of Optical Communications and Networking","volume":"16 11","pages":"G1-G10"},"PeriodicalIF":4.0,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142377114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Celso Henrique de Souza Lopes;Tomas Powell Villena Andrade;Luiz Augusto Melo Pereira;Evandro Conforti;Arismar Cerqueira Sodre Junior
This paper presents two distinct network architectures designed to address the demands of 5G/6G applications. The first architecture is an analog radio-over-fiber (RoF) optical fronthaul operating in the V-band at 60 GHz, integrated within a wavelength-division multiplexing passive optical network (WDM-PON). This setup employs photonic techniques for RF signal generation, specifically using carrier-suppressed double sideband (CS-DSB) modulation via Mach–Zehnder modulators (MZMs), enabling efficient frequency multiplication and signal transport. Experimental results demonstrate its ability to achieve a data rate of approximately 11.8 Gbit/s, meeting the requirements for 5G/6G cell densification. The second architecture is a heterogeneous network (HetNet) that combines fiber-wireless (FiWi), free space optics (FSO), and visible light communication (VLC) technologies in a unified network configuration designed for indoor 6G solutions. This HetNet architecture was tested at 39 GHz and features a 20 km optical fiber midhaul, an FSO fronthaul, and a dual VLC/RF access network. The setup was evaluated based on the root mean square error vector magnitude ( ${{rm EVM}_{{rm RMS}}}$