Title :
Neural adaptive congestion control for broadband ATM networks
Author :
Chen, Xiaoqiang ; Leslie, I.M.
Author_Institution :
Comput. Lab., Cambridge Univ., UK
fDate :
6/1/1992 12:00:00 AM
Abstract :
The authors investigate the application of neural networks to adaptive congestion control in broadband ATM networks. A neural control scheme is proposed which is a direct application of the backpropagation neural networks with those modifications required to pose the problem in the framework of a general quality-of-service control. The learning algorithms regulating traffic loads to meet performance requirements are described and validated. To illustrate the present scheme´s ability to control, three examples of networks consisting of simple dynamic queuing models are studied through simulations.<>
Keywords :
broadband networks; neural nets; queueing theory; telecommunication network management; telecommunications control; time division multiplexing; adaptive congestion control; backpropagation neural networks; broadband ATM networks; learning algorithms; performance requirements; quality-of-service control; simple dynamic queuing models; traffic loads;
Journal_Title :
Communications, Speech and Vision, IEE Proceedings I
