Authors: Dimitar Radev, Izabella Lokshina
Addresses: Department of Technique and Technologies, University of Rousse, Rousse 7017, Bulgaria. ' Division of Business and Economics, SUNY Oneonta, NY 13820, USA
Abstract: This paper examines self-similar (or fractal) properties of real teletraffic data over a wide range of time scales. These self-similar properties are very different from the properties of traditional models based on Poisson and Markov-modulated Poisson processes. The algorithms for modelling fixed-length sequence generators that are used to simulate self-similar behaviour of real teletraffic data in IP traffic for wireless networks are developed and applied. Numerical examples and simulation results are provided.
Keywords: modelling; simulation; telecommunications networks; self-similar teletraffic; wireless networks; IP traffic; fractal teletraffic; sequence generators.
International Journal of Mobile Network Design and Innovation, 2007 Vol.2 No.3/4, pp.202 - 208
Published online: 26 Feb 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article