NEURAL NETWORKS FOR ADAPTIVE TRAFFIC CONTROL IN ATM NETWORKS

Authors
NORDSTROM E CARLSTROM J GALLMO O ASPLUND L
Citation
E. Nordstrom et al., NEURAL NETWORKS FOR ADAPTIVE TRAFFIC CONTROL IN ATM NETWORKS, IEEE communications magazine, 33(10), 1995, pp. 43-49
Citations number
7
Categorie Soggetti
Engineering, Eletrical & Electronic",Telecommunications
Journal title
IEEE communications magazine → ACNP
ISSN journal
01636804
Volume
33
Issue
10
Year of publication
1995
Pages
43 - 49
Database
ISI
SICI code
0163-6804(1995)33:10<43:NNFATC>2.0.ZU;2-T
Abstract
Neural networks have several valuable properties for implementing ATM traffic control. The authors present NN-based solutions for two proble ms arising in connection admission control, affecting the GOS at both the cell and call levels, and propose that neural networks may increas e the network throughput and revenue.