New Silica Laser-Optimized Multimode Optical Fibers with Extremely Enlarged 100-μm Core Diameter for Gigabit Onboard and Industrial Networks

Burdin, Vladimir A.; Dashkov, Michael V.; Demidov, Vladimir V.; Дукельский, К. В.; Evtushenko, Alexander S.; Kuznetsov, Artem A.; Matrosova, Alexandra S.; Morozov, Oleg G.; Ter-Nersesyants, Egishe V.; Vasilets, Alexander A.; Zaitseva, Elena S.; Zhukov, Alexander E.; Bourdine, Anton V.

doi:10.3390/fib8030018

Cited by 13 publications

(5 citation statements)

References 11 publications

(29 reference statements)

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“…Single-mode fibers with a diameter typically less than 10 microns are used for long-distance communication to reduce dispersion and improve signal quality. Multi-mode fibers having a large core diameter are less expensive, have a lower bandwidth, have a higher dispersion, and are used for short-distance communication (up to a few kilometers) [433]. However, optical fibers are expensive to install, consume more time to repair (which increases the downtime), are more fragile than copper wires (i.e., can break easily), and are less immune to signal attenuation from light wave absorption, scattering, and reflection [434].…”

Section: Optical Mediamentioning

confidence: 99%

A Comprehensive Survey on Knowledge-Defined Networking

Wijesekara

Gunawardena

2023

Telecom

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Traditional networking is hardware-based, having the control plane coupled with the data plane. Software-Defined Networking (SDN), which has a logically centralized control plane, has been introduced to increase the programmability and flexibility of networks. Knowledge-Defined Networking (KDN) is an advanced version of SDN that takes one step forward by decoupling the management plane from control logic and introducing a new plane, called a knowledge plane, decoupled from control logic for generating knowledge based on data collected from the network. KDN is the next-generation architecture for self-learning, self-organizing, and self-evolving networks with high automation and intelligence. Even though KDN was introduced about two decades ago, it had not gained much attention among researchers until recently. The reasons for delayed recognition could be due to the technology gap and difficulty in direct transformation from traditional networks to KDN. Communication networks around the globe have already begun to transform from SDNs into KDNs. Machine learning models are typically used to generate knowledge using the data collected from network devices and sensors, where the generated knowledge may be further composed to create knowledge ontologies that can be used in generating rules, where rules and/or knowledge can be provided to the control, management, and application planes for use in decision-making processes, for network monitoring and configuration, and for dynamic adjustment of network policies, respectively. Among the numerous advantages that KDN brings compared to SDN, enhanced automation and intelligence, higher flexibility, and improved security stand tall. However, KDN also has a set of challenges, such as reliance on large quantities of high-quality data, difficulty in integration with legacy networks, the high cost of upgrading to KDN, etc. In this survey, we first present an overview of the KDN architecture and then discuss each plane of the KDN in detail, such as sub-planes and interfaces, functions of each plane, existing standards and protocols, different models of the planes, etc., with respect to examples from the existing literature. Existing works are qualitatively reviewed and assessed by grouping them into categories and assessing the individual performance of the literature where possible. We further compare and contrast traditional networks and SDN against KDN. Finally, we discuss the benefits, challenges, design guidelines, and ongoing research of KDNs. Design guidelines and recommendations are provided so that identified challenges can be mitigated. Therefore, this survey is a comprehensive review of architecture, operation, applications, and existing works of knowledge-defined networks.

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Section: Optical Mediamentioning

confidence: 99%

A Comprehensive Survey on Knowledge-Defined Networking

Wijesekara

Gunawardena

2023

Telecom

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“…G.652 91 ), jointed to tested optical fiber at the start of measurements centrally and further under precision specified radial offset with respect to core center. Here we utilized based on stroboscopic effect DMD analyzer workstation R2D2 lab kit 83,86,[92][93][94][95] for laser-excited optical pulse response measurement under desired precision offset launching conditions after propagation over tested fiber optic link, containing ~500 m long MMF and researched 2 m long silica 6-core MOF with graded refractive index profile of cores and induced twisting 100 rpm. R2D2 transmitter unit is based on Fabry-Perot laser diode (FP LD), that generates quasi-Gaussian optical pulse at wavelength =1310 nm with width at a half maximum (FWHM) ~340 ps.…”

Section: Dmd Map Measurement Of Twisted 6-geo2-doped Core Mofmentioning

confidence: 99%

“…During the first stage of DMD researches, a special silica large core laser optimized MMF 95 100/125 with improved effective modal bandwidth (EMB), combined with 6-core MOF, was tested. Refractive index profile of drawn optical fiber and measured DMD map of ~500 m long MMF 100/125 are presented 95 on Fig. 6(a), (b).…”

Section: Dmd Map Measurement Of Twisted 6-geo2-doped Core Mofmentioning

confidence: 99%

Experimental researches and testing of silica twisted six-GeO2-doped core microstructured optical fiber. Part I: fusion splicing with telecommunication optical fibers and differential mode delay map measurements

Bourdine,

Dashkov,

Evtushenko

et al. 2023

Optical Technologies for Telecommunications 2022

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This work presents results of test series, performed for earlier on designed and successfully fabricated silica few-mode microstructured optical fibers (MOF) with six GeO2-doped cores, induced twisting 100 revolutions per meter, typical "telecommunication" outer diameter 125 µm, core diameter 8.7 µm, air hole diameter 4.6 µm, pitch 7.2 µm, and core quasi-step / graded refractive index profiles with height 0.0360 / 0.0275, respectively. Part I introduces attempts for *

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“…Only one mode propagates in SMF, resulting in a faster transmission speed and greater distance than multimode silica optical fiber. The core diameter of a multimode silica optical fiber is typically 50 or 62.5 μm, which enables the propagation of multiple light modes within the optimized communication window of 850 nm and 1300 nm [ 10 , 11 ]. Silica optical fiber transmission ranges can be customized by adding impurities, such as doping materials.…”

Section: Introductionmentioning

confidence: 99%

“…8 olydimethylsiloxane 9. Poly (octamethylene citrate)-poly (octamethylene maleate citrate) 10. Polycarbonate 11.…”

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Biocompatible and Biodegradable Polymer Optical Fiber for Biomedical Application: A Review

et al. 2021

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This article discusses recent advances in biocompatible and biodegradable polymer optical fiber (POF) for medical applications. First, the POF material and its optical properties are summarized. Then, several common optical fiber fabrication methods are thoroughly discussed. Following that, clinical applications of biocompatible and biodegradable POFs are discussed, including optogenetics, biosensing, drug delivery, and neural recording. Following that, biomedical applications expanded the specific functionalization of the material or fiber design. Different research or clinical applications necessitate the use of different equipment to achieve the desired results. Finally, the difficulty of implanting flexible fiber varies with its flexibility. We present our article in a clear and logical manner that will be useful to researchers seeking a broad perspective on the proposed topic. Overall, the content provides a comprehensive overview of biocompatible and biodegradable POFs, including previous breakthroughs, as well as recent advancements. Biodegradable optical fibers have numerous applications, opening up new avenues in biomedicine.

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New Silica Laser-Optimized Multimode Optical Fibers with Extremely Enlarged 100-μm Core Diameter for Gigabit Onboard and Industrial Networks

Cited by 13 publications

References 11 publications

A Comprehensive Survey on Knowledge-Defined Networking

A Comprehensive Survey on Knowledge-Defined Networking

Experimental researches and testing of silica twisted six-GeO2-doped core microstructured optical fiber. Part I: fusion splicing with telecommunication optical fibers and differential mode delay map measurements

Biocompatible and Biodegradable Polymer Optical Fiber for Biomedical Application: A Review

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