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