DocumentCode
2138643
Title
Study on neural network-controlled ATM switching network with input-output-queueing
Author
Hua Nan
Author_Institution
Beijing Univ. of Posts & Telecommun.
Volume
2
fYear
1996
fDate
5-7 May 1996
Firstpage
901
Abstract
Neural networks scheduling of ATM switching networks have been proposed in some papers, but its hardware implementation is complicated. In this paper we propose a high throughput ATM switch fabric which consists of neural network controlled ATM switching network with input-output-queueing. Its neural network controller is very simple. Our simulation results show the neural network controller is efficient
Keywords
Hopfield neural nets; asynchronous transfer mode; queueing theory; scheduling; telecommunication control; Banyan network; Hopfield neural network; hardware implementation; high throughput ATM switch fabric; input-output-queueing; neural network controller; neural network-controlled ATM switching network; neural networks scheduling; simulation; Asynchronous transfer mode; B-ISDN; Communication switching; Communication system control; Fabrics; Neural network hardware; Neural networks; Optimal scheduling; Switches; Telecommunication control; Telecommunication switching; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Technology Proceedings, 1996. ICCT'96., 1996 International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-2916-3
Type
conf
DOI
10.1109/ICCT.1996.545026
Filename
545026
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