Low-DMGD, Large-Effective-Area and Low-Bending-Loss 12-LP-Mode Fiber for Mode-Division-Multiplexing

Zhang, Huan; Zhao, Jian; Yang, Zhiqun; Peng, Guanju; Di, Zixiang

doi:10.1109/jphot.2019.2924834

Cited by 11 publications

(7 citation statements)

References 20 publications

(21 reference statements)

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“…8 (b). Furthermore, the large effective area Aeff is helpful to mitigate the nonlinear transmission impairment and the dispersion coefficient D is important for the design of transmission system [27]. Fig .…”

Section: Optimization and Performance Resultsmentioning

confidence: 99%

Polarization-Maintaining Multi-Core Few-Mode Fiber With a Cladding Diameter of 125 μm

Wang

Qin

et al. 2021

IEEE Photonics J.

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We present the theoretical study of polarization-maintaining multi-core few-mode fiber (PM MC-FMF) with a cladding diameter of 125 μm, in order to secure the maximum number of independent spatial channels arising in the single fiber. By taking both the intercore crosstalk (XT) and the intra-core mode coupling into account, we identify that the PM five-core three-mode fiber is able to provide 19 parallel channels without the need of MIMO signal processing. After the numerical optimizations, the inter-core XT of MC-FMF is less than -30 dB/100km, due to the use of trench-assisted heterogeneous core distribution. Meanwhile, the effective refractive index (RI) differences among both spatial modes and polarization modes are more than 8×10 -4 and 3.26×10 -4 over the C+L band, respectively, due to the introduction of stress and geometric birefringence. Moreover, the cladding diameter of such MC-FMF is the same as that of the standard single-mode fiber (SSMF), leading to a convenient upgrading from the SSMF to the MC-FMF.

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Section: Optimization and Performance Resultsmentioning

confidence: 99%

Polarization-Maintaining Multi-Core Few-Mode Fiber With a Cladding Diameter of 125 μm

Wang

Qin

et al. 2021

IEEE Photonics J.

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“…We calculate the DMGD over the C-band based on full vector finite element analysis. The group delay of any propagation mode in FMF is given by [30] 𝜏 𝑔 = 𝑧(𝑛 𝑒𝑓𝑓 − 𝜆 𝑑𝑛 𝑒𝑓𝑓 𝑑𝜆 ) 𝑐…”

Section: Design Of Digital Transmission Coresmentioning

confidence: 99%

Heterogeneously Integrated Multicore Fibers for Smart Oilfield Applications

et al. 2023

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In the context of Industry 4.0, the smart oilfield is introduced, which relies on large-scale information exchange among various parts, and there is an urgent need for special fiber links for both increased data transmission capacity and high-sensitivity distributed sensing. Multicore fibers can be expected to play a critical role, in the parts of cores that are responsible for data transmission, while others are used for sensing. In this paper, we propose a heterogeneously integrated seven-core fiber for interconnection and awareness applications in smart oilfields, which could not only support digital and analog signal transmission but could also measure temperature and vibration. The core for digital signal transmission has a low differential mode group delay of 10 ps/km over the C-band, and the crosstalk between adjacent cores is lower than −55 dB/km at the pitch of 50 μm. A 25-Gbaud transmission over 50 km is simulated. Each core for analog signal transmission has a large effective area of 172 μm2 to suppress the nonlinear effect due to the watt-scale input power. The proposed heterogeneously multicore fiber exhibits great potential to be applied in smart oilfields, meeting the demand for efficient and cost-effective oil production.

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“…As a result, the research community is becoming more interested in the design of FMFs to improve the spectral efficiency of recent optical networks. In [16][17][18][19][20][21][22][23][24][25][26][27][28][29] some recent works on weakly coupled FMFs have been investigated and depicted in Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-based Inverse Model for Few-Mode Fiber Designs

Behera¹,

Patra²,

Varshney³

et al. 2023

Computer Systems Science and Engineering

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The medium for next-generation communication is considered as fiber for fast, secure communication and switching capability. Mode division and space division multiplexing provide an excellent switching capability with high data transmission rate. In this work, the authors have approached an inverse modeling technique using regression-based machine learning to design a weakly coupled few-mode fiber for facilitating mode division multiplexing. The technique is adapted to predict the accurate profile parameters for the proposed few-mode fiber to obtain the maximum number of modes. It is for a three-ring-core few-mode fiber for guiding five, ten, fifteen, and twenty modes. Three types of regression models namely ordinary least-square linear multi-output regression, k-nearest neighbors of multi-output regression, and ID3 algorithm-based decision trees for multi-output regression are used for predicting the multiple profile parameters. It is observed that the ID3-based decision tree for multioutput regression is the robust, highly-accurate machine learning model for fast modeling of FMFs. The proposed fiber claims to be an efficient candidate for the next-generation 5G and 6G backhaul networks using mode division multiplexing.

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Low-DMGD, Large-Effective-Area and Low-Bending-Loss 12-LP-Mode Fiber for Mode-Division-Multiplexing

Cited by 11 publications

References 20 publications

Polarization-Maintaining Multi-Core Few-Mode Fiber With a Cladding Diameter of 125 μm

Polarization-Maintaining Multi-Core Few-Mode Fiber With a Cladding Diameter of 125 μm

Heterogeneously Integrated Multicore Fibers for Smart Oilfield Applications

Machine Learning-based Inverse Model for Few-Mode Fiber Designs

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