DocumentCode :
826607
Title :
Integration of ATM call admission control and link capacity control by distributed neural networks
Author :
Hiramatsu, Atsushi
Author_Institution :
NTT Commun. Switching Lab., Tokyo, Japan
Volume :
9
Issue :
7
fYear :
1991
fDate :
9/1/1991 12:00:00 AM
Firstpage :
1131
Lastpage :
1138
Abstract :
An adaptive call admission control using neural networks was recently proposed for asynchronous transfer mode (ATM) communications networks. The author proposes adaptive link capacity control using neural networks. Neural networks are trained to estimate the call loss rate from link capacity and observed traffic, and link capacity assignment is optimized by a random optimization method according to the estimated call loss rate. The integration of adaptive call admission control and adaptive link capacity control yields an efficient ATM traffic control system suitable for multimedia communication services with unknown traffic characteristics. Computer simulation results using a simple network model are also given to evaluate the accuracy and efficiency of the proposed method
Keywords :
ISDN; broadband networks; multimedia systems; neural nets; packet switching; telecommunication traffic; ATM call admission control; ATM traffic control system; B-ISDN; asynchronous transfer mode; distributed neural networks; link capacity control; multimedia communication services; random optimization method; Adaptive control; Asynchronous transfer mode; Call admission control; Communication networks; Communication system control; Communication system traffic control; Neural networks; Optimization methods; Programmable control; Traffic control;
fLanguage :
English
Journal_Title :
Selected Areas in Communications, IEEE Journal on
Publisher :
ieee
ISSN :
0733-8716
Type :
jour
DOI :
10.1109/49.103558
Filename :
103558
Link To Document :
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