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Connection　Admission　Control　in　ATM　Networks　Based　on　the　Foreground　and　Background　Neural　Networks 被引量：1

Connection Admission Control in ATM Networks Based on the Foreground and Background Neural Networks
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摘要 Connection Admission Control(CAC)in ATM networks is the set o/actions taken by the networkto decide whether to accept connection requests during the phase of call establishment or call re-negotiation.CAC is an integral part of the preventive congestion control in ATM networks whose aim is to ensurenetwork performance.The CAC algorithm has the characteristics of the multitude of control parameters,high degree of computation complexity and strong time restrictions.In this paper we present a CACmechanism featured by combination of foreground control and background learning which is based onneural networks having the capabilities of self-learning and high-Speed processing.A case study is given,after which we discuss the practicability of the proposed algorithm. Connection Admission Control(CAC)in ATM networks is the set o/actions taken by the networkto decide whether to accept connection requests during the phase of call establishment or call re-negotiation.CAC is an integral part of the preventive congestion control in ATM networks whose aim is to ensurenetwork performance.The CAC algorithm has the characteristics of the multitude of control parameters,high degree of computation complexity and strong time restrictions.In this paper we present a CACmechanism featured by combination of foreground control and background learning which is based onneural networks having the capabilities of self-learning and high-Speed processing.A case study is given,after which we discuss the practicability of the proposed algorithm.
作者 Ma Xudong Luee Tingjie and Liang Xiongjian(Department of Management Engineering Beijing University of Posts and Telecommunications,Beijing 100088, P.R.China)
出处 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 1996年第1期15-20,共6页 中国邮电高校学报（英文版）
关键词 s:connection admission control ATM networks neural networks usage parameter control s:connection admission control,ATM networks, neural networks,usage parameter control
分类号 TN915.2 [电子电信—通信与信息系统]
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引证文献1

  • 1ZHAO Ji-hong 1,2, LI Zeng-zhi1, QU Hua2 ( 1. Xi’an Jiaotong University, Xi’an 7100, P.R.China,2. Xi’an Institute to Posts and Telecommunications, Xi’an 710061,P.R.China).A New ATM Self-Healing Algorithm with Back-Routing Capacity[J].The Journal of China Universities of Posts and Telecommunications,2001,8(3):11-16.
The Journal of China Universities of Posts and Telecommunications
1996年 第1期

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