DocumentCode :
2631539
Title :
A neural network controlled ATM switch
Author :
Nan, Hua ; Liu, Zemin
Author_Institution :
Beijing Univ. of Posts & Telecommun., China
fYear :
1996
fDate :
4-6 Sep 1996
Firstpage :
518
Lastpage :
526
Abstract :
The Banyan network is a kind of multistage interconnection networks (MINs), and is very popular to be used as a basic building block in ATM switch designs. The neural network scheduling of multistage interconnection networks (MINs) have been proposed in some papers, but its hardware implementation is complicated. In this paper we propose a high throughput ATM switch which consists of neural network controlled Banyan network with input-output-queueing. Its neural network controller is very simple. Our simulation results show the neural network controller is efficient
Keywords :
multistage interconnection networks; ATM switching; Banyan network; Hopfield neural network; asynchronous transfer mode; input-output-queueing; multistage interconnection networks; network topology; scheduling; Asynchronous transfer mode; B-ISDN; Communication system control; Multiprocessor interconnection networks; Network topology; Neural networks; Optimal scheduling; Sorting; Switches; Telecommunication switching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Signal Processing [1996] VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop
Conference_Location :
Kyoto
ISSN :
1089-3555
Print_ISBN :
0-7803-3550-3
Type :
conf
DOI :
10.1109/NNSP.1996.548382
Filename :
548382
Link To Document :
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