Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Remotely amplified combined ring-tree dense access network architecture using reflective RSOA-based ONU

Not Accessible

Your library or personal account may give you access

Abstract

Feature Issue on Passive Optical Network Architectures and Technologies

A highly scalable access architecture achieving high density and featuring resiliency, centralized light-generation control, remote amplification, and colorless optical network unit with reflective semiconductor optical amplifier (RSOA) for upstream modulation is presented and experimentally demonstrated. It is based on a user-single-fiber completely passive outside plant and provides broadband connections to >1000 users distributed along large distances. It is believed to represent an intermediate step toward metro-access convergence and offers flexible configurations covering high- and low-density population areas.

© 2007 Optical Society of America

PDF Article
More Like This
High-Bit-Rate Dynamically Reconfigurable WDM–TDM Access Network

P. J. Urban, B. Huiszoon, R. Roy, M. M. de Laat, F. M. Huijskens, E. J. Klein, G. D. Khoe, A. M.J. Koonen, and H. de Waardt
J. Opt. Commun. Netw. 1(2) A143-A159 (2009)

RSOA-Based FDM PON Upstream With Flexible Multiple Access Capabilities in an NG-PON2 Compliant Architecture

A. Gatto, P. Parolari, M. Brunero, P. Martelli, R. Brenot, and P. Boffi
J. Opt. Commun. Netw. 8(5) 302-307 (2016)

Metro-access integrated network based on optical OFDMA with dynamic sub-carrier allocation and power distribution

Chongfu Zhang, Qiongli Zhang, Chen Chen, Ning Jiang, Deming Liu, Kun Qiu, Shuang Liu, and Baojian Wu
Opt. Express 21(2) 2474-2479 (2013)

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.