| Connection Admission Control in ATM Networks Based on the Foreground and Background Neural Networks |
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| 作者姓名： | Ma Xudong Luee Tingjie and Liang Xiongjian |
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| 作者单位： | Department of Management Engineering Beijing University of Posts and Telecommunications，Beijing 100088，P.R.China |
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| 摘 要： | ＣｏｎｎｅｃｔｉｏｎＡｄｍｉｓｓｉｏｎＣｏｎｔｒｏｌｉｎＡＴＭＮｅｔｗｏｒｋｓＢａｓｅｄｏｎｔｈｅＦｏｒｅｇｒｏｕｎｄａｎｄＢａｃｋｇｒｏｕｎｄＮｅｕｒａｌＮｅｔｗｏｒｋｓ￥ＭａＸｕｄｏｎｇ；ＬｕｅｅＴｉｎｇｊｉｅａｎｄＬｉａｎｇＸｉｏｎｇｊｉａｎ（...
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Connection Admission Control in ATM Networks Based on the Foreground and Background Neural Networks |
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| Ma Xudong,Luee Tingjie and Liang Xiongjian.Connection Admission Control in ATM Networks Based on the Foreground and Background Neural Networks[J].The Journal of China Universities of Posts and Telecommunications,1996(1). |
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| Authors: | Ma Xudong Luee Tingjie and Liang Xiongjian |
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| Abstract: | 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. |
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| Keywords: | s:connection admission control ATM networks neural networks usage parameter control |
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