NEURAL ADAPTIVE CONGESTION CONTROL FOR BROAD-BAND ATM NETWORKS

被引：6
作者：
CHEN, XQ
LESLIE, IM
机构：
[1] Univ of Cambridge Computer Lab, Cambridge
来源：
IEE PROCEEDINGS-I COMMUNICATIONS SPEECH AND VISION | 1992年 / 139卷 / 03期
关键词：
ALGORITHMS; NEURAL NETWORKS; SIMULATION; BROAD-BAND ATM NETWORKS;
D O I：
10.1049/ip-i-2.1992.0033
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper investigates 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.
引用
收藏
页码：233 / 240
页数：8
相关论文
共 17 条
[1]   DYNAMIC MODELING AND CONTROL OF CONGESTION-PRONE SYSTEMS [J].
AGNEW, CE .
OPERATIONS RESEARCH, 1976, 24 (03) :400-419
[2]  
ALI MKM, 1991, GLOBECOM 91, P130
[3]  
[Anonymous], 1987, LEARNING INTERNAL RE
[4]  
Filipiak J, 1988, MODELLING CONTROL DY
[5]   FLOW-CONTROL - A COMPARATIVE SURVEY [J].
GERLA, M ;
KLEINROCK, L .
IEEE TRANSACTIONS ON COMMUNICATIONS, 1980, 28 (04) :553-574
[6]  
Hiramatsu A, 1990, IEEE Trans Neural Netw, V1, P122, DOI 10.1109/72.80211
[7]  
JORDAN MI, 1990, MIT40 CTR COGN SCI T
[8]   ROUTING AND FLOW-CONTROL IN HIGH-SPEED WIDE-AREA NETWORKS [J].
MAXEMCHUK, NF ;
ELZARKI, M .
PROCEEDINGS OF THE IEEE, 1990, 78 (01) :204-221
[9]  
MORRIS RJT, 1991, TELETRAFFIC DATA ITC, V13, P335
[10]  
Narendra K S, 1990, IEEE Trans Neural Netw, V1, P4, DOI 10.1109/72.80202
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