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A Neural Network Approach to Cell Loss Rate Estimation for Call Admission Control in ATM Networks
Masao MASUGI
Publication
IEICE TRANSACTIONS on Communications
Vol.E80B
No.3
pp.412419 Publication Date: 1997/03/25
Online ISSN:
DOI:
Print ISSN: 09168516 Type of Manuscript: PAPER Category: Communication Networks and Services Keyword: ATM, CAC, cell loss rate, neural network, Kalman filter,
Full Text: PDF>>
Summary:
The asynchronous transfer mode (ATM) provides efficient switching capability for various kinds of communication services. To guarantee the minimum quality of services in the ATM networks, the bandwidth allocation setup procedure between the network nodes and users is very important. However, most of call admission control (CAC) methods which have been proposed so far are not fully appropriate to apply to real environments in terms of the complexity of the hardware implementation or the accuracy of assumptions about the cellarrival processes. In addition, the success of broad bandwidth applications in the future multimedia environments will largely depend on the degree to which the efficiency in communication systems can be achieved, so that establishing highspeed CAC schemes in the ATM networks is an indispensable subject. This paper proposes a new cellloss rate estimation method for the real time CAC in ATM networks. A neural network model using the Kalman filter algorithm was employed to improve the error minimizing process for the cellloss estimation problem. In the process of optimizing the threelayer perceptron, the average, the variance, and the 3rd central moment of the number of cell arrivals were calculated, and cellloss rate date based on the nonparametric method were adopted for outputs of the neural network. Evaluation results concerned with the convergence using the sum of square errors of outputs were also discussed in this paper. Using this algorithm, ATM cellloss rates can be easily derived from the average and peak of cells rates coming from users. Results for the cellloss estimation process suggest that the proposed method will be useful for highspeed ATM CAC in multimedia traffic environments.

