Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 33,
  • Issue 17,
  • pp. 3507-3515
  • (2015)

Influence of Behavioral Models on Multiuser Channel Capacity

Not Accessible

Your library or personal account may give you access

Abstract

In order to characterize the channel capacity of a wavelength channel in a wavelength-division multiplexed (WDM) system, statistical models are needed for the transmitted signals on the other wavelengths. For example, one could assume that the transmitters for all wavelengths are configured independently of each other, that they use the same signal power, or that they use the same modulation format. In this paper, it is shown that these so-called behavioral models have a profound impact on the single-wavelength achievable information rate. This is demonstrated by establishing, for the first time, upper and lower bounds on the maximum achievable rate under various behavioral models, for a rudimentary WDM channel model.

© 2015 IEEE

PDF Article
More Like This
Binary-Input Non-Line-of-Sight Solar-Blind UV Channels: Modeling, Capacity and Coding

Mohamed A. El-Shimy and Steve Hranilovic
J. Opt. Commun. Netw. 4(12) 1008-1017 (2012)

New bounds on the capacity of the nonlinear fiber-optic channel

Ronen Dar, Mark Shtaif, and Meir Feder
Opt. Lett. 39(2) 398-401 (2014)

Analytical results on channel capacity in uncompensated optical links with coherent detection

G. Bosco, P. Poggiolini, A. Carena, V. Curri, and F. Forghieri
Opt. Express 19(26) B440-B451 (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.