Modular neural networks for multi-service connection admission control
نویسندگان
چکیده
منابع مشابه
Modular neural networks for multi-service connection admission control
Although neural networks (NNs) have been applied for trac and congestion control in ATM networks, many implementations only consider a single service class with identical trac characteristics and requirements. In addition, the most commonly used NN is the multi-layer perceptron (MLP) networks which are known to converge slowly. We present a multi-service connection admission control (CAC) sch...
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Neural networks, such as multi-layer perceptron (MLP) networks which converge slowly, have been applied for tra c and congestion control in ATM networks. In this paper, we present a Connection Admission Control (CAC) scheme using modular and hierarchical neural networks for predicting the resulting cell loss rate (CLR) when calls are accepted. The fast learning and accurate predictions obtained...
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This paper investigates the use of fixed bandwidth reservation for multi-service mobile networks. In particular it extends previous fixed multi-service network results to the mobile scenario and presents analytical and simulation results for new and handover call blocking probabilities. It also investigates the performance sensitivity to different traffic load ratios as well as the cell dwell t...
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ژورنال
عنوان ژورنال: Computer Networks
سال: 2001
ISSN: 1389-1286
DOI: 10.1016/s1389-1286(00)00197-3