Investigation of spectrum granularity for performance optimization of flexible Nyquist-WDM-based optical networks

Pouria Sayyad Khodashenas*, Jose Manuel Rivas-Moscoso, Behnam Shariati, Dan M. Marom, Dimitrios Klonidis, Ioannis Tomkos

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

The idea behind flexible optical transmission is to optimize the use of fiber capacity by flexibly assigning spectrum and data rate adapted to the needs of end-to-end connection requests. Several techniques have been proposed to this end. One such technique is based on the utilization of Nyquist-shaping filters with the aim of reducing the required channel spacing in flexible single-carrier and super-channel optical transmission systems. Nonetheless, the imperfect shape of the filters used at the bandwidth-variable transceivers and wavelength-selective switches compels the necessity to allocate a certain spectral guard band between (sub-)channels. Bearing this is mind, in this paper, we focus on the evaluation of the network-level performance, in terms of the filter characteristics and the WDM frequency-grid granularity, of flexible Nyquist-WDM-based transmission. We demonstrate that a granularity of 6.25 GHz offers a good compromise between network performance and filter requirements for spectrum assignment to single-carrier and super-channel signals. However, for subchannel allocation within a super-channel, granularities as fine as 3.125 GHz are required to take advantage of filters with resolutions in the region of 1-1.2 GHz. Finer filter resolutions and frequency slot granularities provide negligible performance improvement.

Original languageEnglish
Article number7297800
Pages (from-to)4767-4774
Number of pages8
JournalJournal of Lightwave Technology
Volume33
Issue number23
DOIs
StatePublished - 1 Dec 2015

Bibliographical note

Publisher Copyright:
© 1983-2012 IEEE.

Keywords

  • DWDM
  • Elastic optical network
  • Filtering
  • Flexi-grid
  • Network optimization

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