MDG and SNR Estimation in SDM Transmission Based on Artificial Neural Networks-Reference-Cited by-同舟云学术

MDG and SNR Estimation in SDM Transmission Based on Artificial Neural Networks

Published:2022-08-01 Issue:15 Volume:40 Page:5021-5030
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

Ospina Ruby S. B.¹^ORCID,Hout Menno van den²^ORCID,van der Heide Sjoerd²^ORCID,van Weerdenburg John³^ORCID,Ryf Roland⁴^ORCID,Fontaine Nicolas K.⁴^ORCID,Chen Haoshuo⁴^ORCID,Amezcua-Correa Rodrigo⁵,Okonkwo Chigo²^ORCID,Mello Darli A. A.¹^ORCID

Affiliation:

1. School of Electrical and Computer Engineering, State University of Campinas, Campinas, Brazil

2. High Capacity Optical Transmission Laboratory, Electro-Optical Communications Group, Eindhoven University of Technology, Eindhoven, MB, The Netherlands

3. Eindhoven University of Technology, Eindhoven, MB, The Netherlands

4. NokiaBell Labs, Holmdel, NJ, USA

5. CREOL, The College of Optics and Photonics, University of Central Florida, Orlando, FL, USA

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

TU/e-KPN

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/50/9839676/09773992.pdf?arnumber=9773992

Reference35 articles.

1. Impact of mode coupling on the mode-dependent loss tolerance in few-mode fiber transmission

2. Widely Linear Equalization for IQ Imbalance and Skew Compensation in Optical Coherent Receivers

3. Ultra-high-density spatial division multiplexing with a few-mode multicore fibre

4. Scaling photonic lanterns for space-division multiplexing

5. The delay spread in fibers for SDM transmission: dependence on fiber parameters and perturbations

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