2019Unpublished venueRequires access

Modal Chromatic Dispersion Compensating Fiber Channels using 100G Multimode Optical Transceivers

Asher Novick, José M. Castro, Rick J. Pimpinella, Bülent Köse, Paul C. Huang, Fei Jia, Brett Lane

Open publisher page 2 citations

Abstract

Using 100G multimode transceivers, we measure bit error rate over 300 m of dispersion and non-dispersion compensating multimode fiber channels. For both 100GBASE-SR4 and 100G-SWDM4 transceivers, all lanes showed performance advantages on dispersion compensating fiber.

About this research paper

What this paper is about

Using 100G multimode transceivers, we measure bit error rate over 300 m of dispersion and non-dispersion compensating multimode fiber channels. For both 100GBASE-SR4 and 100G-SWDM4 transceivers, all lanes showed performance advantages on dispersion compensating fiber.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Using 100G multimode transceivers, we measure bit error rate over 300 m of dispersion and non-dispersion compensating multimode fiber channels. For both 100GBASE-SR4 and 100G-SWDM4 transceivers, all lanes showed performance advantages on dispersion compensating fiber.

Key concepts: Multi-mode optical fiber, Modal dispersion, Transceiver, Dispersion (optics), Dispersion-shifted fiber, Fiber-optic communication, Modal, Optics

Related papers

Back to paper searchBrowse research topicsOriginal source
Modal Chromatic Dispersion Compensating Fiber Channels using 100G Multimode Optical Transceivers — Research Paper | ScholarLens