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

fYear

1990

fDate

2-5 Dec 1990

Firstpage

1382

Abstract

An adaptive link capacity control method which uses the adaptive nature of a neural network to estimate call loss rate from observed traffic and link capacity is discussed. 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 is shown to yield all efficient asynchronous transfer mode (ATM) traffic control system suitable for multimedia communication services with unknown traffic characteristics. Preliminary computer simulation results of the method are presented

Keywords

adaptive control; neural nets; packet switching; telecommunication traffic; telecommunications computer control; ATM call admission control; adaptive link capacity control method; asynchronous transfer mode; call loss rate; computer simulation results; distributed neural networks; integration; random optimization method; traffic control system; Adaptive control; Asynchronous transfer mode; Call admission control; Communication system traffic control; Control systems; Multimedia communication; Neural networks; Optimization methods; Programmable control; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1990, and Exhibition. 'Communications: Connecting the Future', GLOBECOM '90., IEEE

Conference_Location

San Diego, CA

Print_ISBN

0-87942-632-2

Type

conf

DOI

10.1109/GLOCOM.1990.116720

Filename

116720