Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 29,
  • Issue 13,
  • pp. 1951-1957
  • (2011)

High Customer Density PON With Passive Amplification Through Distributed Pump for >1:1000 Tree Split

Not Accessible

Your library or personal account may give you access

Abstract

A network architecture for tree-like passive optical networks (PONs) with high splitting ratios is proposed and experimentally demonstrated. Splits >1000 are shown to be feasible thanks to a noise-powered amplifier that is built-in inside the power splitter. The proposed noise pumping technique recycles the natural amplified spontaneous emission (ASE) of a semiconductor optical amplifier at the customer premises, avoiding the use of an electrical power supply in the fiber plant. The impact of the location of this noise-powered extender box inside the signal distribution element of the tree is analyzed in terms of obtained signal gain, ASE accumulation among multiple extender boxes, and transmission performance. Finally, full-duplex transmission at 10 Gb/s with burst-mode upstream is demonstrated in a particular scenario with a split of 1:1000 and a loss budget of 39.5 dB, revealing that power margins of >3 dB can be provided.

© 2011 IEEE

PDF Article
More Like This
Reach Extension Strategies for Passive Optical Networks [Invited]

Fabienne Saliou, Philippe Chanclou, Fabien Laurent, Naveena Genay, Jose A. Lazaro, Francesc Bonada, and Josep Prat
J. Opt. Commun. Netw. 1(4) C51-C60 (2009)

Saturated collision amplifier reach extender for XGPON1 and TDM/DWDM PON

Tuomo von Lerber, Ari Tervonen, Fabienne Saliou, Quang Trung Le, Philippe Chanclou, Rui Xia, Marco Mattila, Werner Weiershausen, Seppo Honkanen, and Franko Küppers
Opt. Express 19(26) B645-B652 (2011)

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.