Integrated Wavelength-Space-Time Optical Multiplexing Technologies and Architectures for Large-Scale, Reconfigurable, Multiple-Access Computer Networks

Abstract

Future computer networks will contain clusters of processors of various sizes that are interconnected over a wide range of distances, from dense local clusters to spatially distributed computer networks. To permit the simultaneous communication amongst many nodes, it will be necessary to develop practical networking technologies that provide multiple access, dynamic reconfigurability, and simultaneous communication through a shared channel. The objectives of this program are to investigate novel optical multiplexing architectures for interconnecting computer networks, and to develop their enabling technologies. To achieve these ends, we will investigate networks that combine wavelength, space, and time division multiplexing in new and different ways. For larger networks, new multiplexing techniques are needed that will use wavelength, space or time more efficiently, either by re-using the available channels or by combining several multiplexing platforms within a single network. These optical multiplexing techniques and their underlying technologies are the focus of the research program.

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Document Details

Document Type
Technical Report
Publication Date
Mar 20, 2000
Accession Number
ADA375981

Entities

People

  • Julian Cheng

Organizations

  • University of New Mexico

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Compound Semiconductors
  • Computer Networks
  • Computers
  • Distributed Bragg Reflectors
  • Electronics Laboratories
  • Laser Arrays
  • Multiple Access
  • Multiplexing
  • Networks
  • Optics
  • Optoelectronics
  • Power Electronics
  • Quantum Well Lasers
  • Quantum Wells
  • Semiconductors
  • Surface Emitting Lasers
  • Wavelength Division Multiplexing

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Neural Network Machine Learning.
  • Radio communications and signal processing.

Technology Areas

  • Space