This study presents a busy telephone traffic prediction model that combines wavelet transformation and least squares support vector machine. Firstly, decompose preprocessed telephone traffic data with Mallat algorithm and get low frequency component and high frequency component. Secondly, reconfigure each component and use LS_SVM model to predict each reconfigure one. Then the traffic can be ac...

With the growing popularity of the Internet, more and more users access the Internet from their homes via the public switched telephone network. Today ́s traffic load can not be described accurately by classical methods and therefore new traffic models are needed to allow proper network design and dimensioning. In this paper the dialup session behaviour of home users is discussed. Based on the l...

The traffic in telephone networks is analyzed in this paper. Unlike the classical traffic analysis where call blockings are due to the limited channel capacity, we consider here a more realistic cause for call blockings which is due to the way in which users are networked in a real-life human society. Furthermore, two kinds of user network, namely, the fully connected user network and the scale...

From the viewpoint of a service provider, demands on the network are not entirely predictable. Traffic modeling is the problem of representing our understanding of dynamic demands by stochastic processes. Accurate traffic models are necessary for service providers to properly maintain quality of service. Many traffic models have been developed based on traffic measurement data. This chapter giv...

This paper reports on the results of surveys of the media usage by two small groups of students, one group in New York City and the other in Los Angeles. The voice and data traffic implications of the results are estimated. When converted to bits, the telephone traffic was much greater than the data traffic. An attempt is made to reconcile the findings with network usage data that implies that ...