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Congestion control for ATM multiplexers using neural networks: multiple sources/single buffer scenario |
DU Shu-xin, YUAN Shi-yong |
National Laboratory of Industrial Control Technology, Institute of Intelligent Systems and Decision-Making, Zhejiang University, Hangzhou 310027, China |
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Abstract A new neural network based method for solving the problem of congestion control arising at the user network interface (UNI) of ATM networks is proposed in this paper. Unlike the previous methods where the coding rate for all traffic sources as controller
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Received: 10 June 2003
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