Document Type

Thesis

Date of Award

1-31-1991

Degree Name

Master of Science in Electrical Engineering - (M.S.)

Department

Electrical and Computer Engineering

First Advisor

Irving Y. Wang

Second Advisor

John D. Carpinelli

Third Advisor

Edwin Hou

Abstract

The concept of integrated network where both the voice packet and data packet are delt with, started taking shape since 1970. Later, Users? demand for communication of data, voice, file, facsimile, image, videotext, videophone, videomovie has also been felt. All these services need bit rate of transmission in the order of 10, even 100 Mbits. An economical way to transmit this higher bit rate, with flexibility of bandwidth, is to treat voice/video in the form of packets and transmit those packets in real time. Studies of this kind of communication is carried out in Broadband ISDN ( BISDN). At this high rate of transmission switching speed should be in the order of a few microseconds. When the number of input and output ports is very high, usual logic circuit and polling system can not deal with this high rate. Controlling time of the switch must be less than the transmission time of a packet. A Neural Net consists of densely connected simple computation elements?called neurons. To measure the performance of a fast packet switching switch, we used a Hopfield net with 'one-winner-take-all' algorithm to control switching of a crossbar switch. We measured the throughput of the switch and delay of both the data and voice packets at different load with different packet length and with different voice/data ratio. We compared our result with the polling system and found our result was better.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.