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

Performance evaluation of an optical network based on optical cross add drop multiplexer

Not Accessible

Your library or personal account may give you access

Abstract

In this paper, the transmission performance of 4×10 Gbps wavelength division multiplexing system using optical cross add and drop multiplexer (OXADM) with 0.1 nm channel spacing has been demonstrated and the effect of insertion loss, attenuation and crosstalk has been investigated. It is found that the signal can be transmitted with acceptable BER up to 85 km without amplification at insertion loss 6 dB with an attenuation of 50 dB. In addition, it is also observed that the system provides acceptable performance with maximum crosstalk of −35 dB at an insertion loss of 70 and 6 dB attenuation for the same distance. We show improvement in transmission distance at high bit rates and reduced channel spacing.

© 2013 Optical Society of America

PDF Article
More Like This
Performance assessment of a fast optical add-drop multiplexer-based metro access network with edge computing

Bitao Pan, Fulong Yan, Xuwei Xue, Eduardo Magelhaes, and Nicola Calabretta
J. Opt. Commun. Netw. 11(12) 636-646 (2019)

Hardware Scale and Performance Evaluation of a Compact Subsystem Modular Optical Cross Connect That Adopts Tailored Add/Drop Architecture

Hiroto Ishida, Hiroshi Hasegawa, and Ken-ichi Sato
J. Opt. Commun. Netw. 7(6) 586-596 (2015)

An Opto-VLSI-based reconfigurable optical add-drop multiplexer employing an off-axis 4-f imaging system

Mingya Shen, Feng Xiao, Selam Ahderom, and Kamal Alameh
Opt. Express 17(16) 14015-14022 (2009)

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.