Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 26,
  • Issue 16,
  • pp. 2889-2898
  • (2008)

Optimized Dispersion Compensation Using Orthogonal Frequency-Division Multiplexing

Not Accessible

Your library or personal account may give you access

Abstract

Orthogonal frequency-division multiplexing (OFDM) can compensate for linear distortions, such as group-velocity dispersion (GVD) and polarization-mode dispersion (PMD), provided the cyclic prefix is sufficiently long. Typically, GVD is dominant, as it requires a longer cyclic prefix. Assuming coherent detection, we show how to analytically compute the minimum number of subcarriers and cyclic prefix length required to achieve a specified power penalty, trading off power penalties from the cyclic prefix and from residual inter-symbol interference (ISI) and inter-carrier interference (ICI). We derive an analytical expression for the power penalty from residual ISI and ICI.

© 2008 IEEE

PDF Article
More Like This
Orthogonal-frequency-division multiplexing for dispersion compensation of long-haul optical systems

Arthur James Lowery and Jean Armstrong
Opt. Express 14(6) 2079-2084 (2006)

Interleaved and partial transmission interleaved optical coherent orthogonal frequency division multiplexing

Zizheng Cao, Henrie P. A. van den Boom, Eduward Tangdiongga, and Ton Koonen
Opt. Lett. 39(7) 2179-2182 (2014)

Folded orthogonal frequency division multiplexing

Bill Corcoran, Chen Zhu, Binhuang Song, and Arthur J. Lowery
Opt. Express 24(26) 29670-29681 (2016)

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.