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

Metropolitan area network technology for gigabit-per-second data rates

Not Accessible

Your library or personal account may give you access

Abstract

(Invited) Metropolitan area network (MAN) experimental research prototypes (ERP's) using 1.7-Gb/s light-wave transmission systems as fiber-optic backbones were set up at Bellcore in Morristown, New Jersey, and at the Naval Research Laboratory in Washington, D.C., to explore new high-speed fiber-optical network concepts and technology applications for broadband communications. MANERP's known as the Bellcore Metropolitical Communication Research (METRO-CORE) network1,2 and the High-Speed Optical Data Transfer Network3 (HSODTN) have an advanced version of the Fasnet4 dual-bus MAC protocol, which is similar in architecture to the proposed Institute of Electrical and Electronics Engineers (IEEE) standard5 (see Fig. 1). These MANERP's use active regeneration (rather than passive taps, as in the original Fasnet proposal) with fault-bypass devices and a standby fiber-optic link to ensure fail-safe operation. Future high-speed MANs based on knowledge gained from these MANERP's may provide an effective means to configured communication services and may use a Broadband Integrated Services Digital Network (B-ISDN) technology platform for ship, shore, and ship-to-shore environments.

© 1991 Optical Society of America

PDF Article
More Like This
Gigabit-per-second wide-area computer networks: potential applications and technology challenges

N. K. Cheung and H. T. Kung
WI2 Optical Fiber Communication Conference (OFC) 1991

HANGMAN-A prototype multiservice gigabit-per-second network

Greg Watson
WI1 Optical Fiber Communication Conference (OFC) 1991

High-performance local and metropolitan area network architectures

Mark J. Karol
TuP1 Optical Fiber Communication Conference (OFC) 1991

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.