Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 34,
  • Issue 2,
  • pp. 314-320
  • (2016)

Transmission of Commercial Low Latency Interfaces Over Hollow-Core Fiber

Not Accessible

Your library or personal account may give you access

Abstract

For the first time, we successfully demonstrate the transmission of commercial 10- and 100-Gb/s interfaces, both direct detect and coherent, over 2.75 km of hollow-core fiber. The fiber is connected to the transceivers using spliced standard single-mode pigtails. This demonstration solidifies the commercial potential for low latency applications.

© 2015 IEEE

PDF Article
More Like This
High-fidelity, low-latency polarization quantum state transmissions over a hollow-core conjoined-tube fiber at around 800  nm

Xinyu Chen, Wei Ding, Ying-Ying Wang, Shou-Fei Gao, Feixiang Xu, Huichao Xu, Yi-Feng Hong, Yi-Zhi Sun, Pu Wang, Yan-Qing Lu, and Lijian Zhang
Photon. Res. 9(4) 460-470 (2021)

SDM transmission of real-time 10GbE traffic using commercial SFP + transceivers over 0.5km elliptical-core few-mode fiber

Ezra Ip, Giovanni Milione, Ming-Jun Li, Neda Cvijetic, Konstantinos Kanonakis, Jeffery Stone, Gaozhu Peng, Xesús Prieto, Carlos Montero, Vicente Moreno, and Jesús Liñares
Opt. Express 23(13) 17120-17126 (2015)

Low-latency wavelength-switched clock-synchronized intra-data center interconnects enabled by hollow core fiber

Zichuan Zhou, Hubert Dzieciol, Kari Clark, Yuan Luo, David Richardson, Francesco Poletti, Polina Bayvel, Radan Slavik, and Zhixin Liu
Opt. Express 31(15) 24739-24748 (2023)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.