Linear scale-invariant system models for self-similar wireless traffic characterization

Raghuveer M. Rao; S. Lee; Soheil A. Dianat; Athimootil V. Mathew

doi:10.1117/12.394095

26 July 2000 Linear scale-invariant system models for self-similar wireless traffic characterization

Raghuveer M. Rao, S. Lee, Soheil A. Dianat, Athimootil V. Mathew

Proceedings Volume 4045, Digital Wireless Communication II; (2000) https://doi.org/10.1117/12.394095
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

It is now empirically documented that data traffic over networks of various types exhibit fractal or self-similar behavior in many instances. Accurate analysis of traffic density and estimation of buffer size must take into account this self-similar nature. Researchers have investigated procedures for generating self-similar signals to model the traffic. Approaches based on the discrete wavelet transform (DWT) are among those that have been proposed. The basis for using the DWT is that it possesses certain scale-invariance properties and scale-invariance provides the foundation for characterizing self-similarity. However, self-similar processes generated with the DWT demonstrates self- invariance to dyadic scaling factors. Zhao and Rao have proposed novel models for purely discrete-time self-similar processes and linear scale-invariant (LSI) systems based on a new interpretation of the discrete-time scaling (equivalently dilation or contraction) operation which is defined through a mapping between discrete and continuous time. They show that it is possible to have continuous scaling factors through this operation although the signal itself is discrete-time. In this paper, we demonstrate application of these LSI systems to the synthesis of data whose self-similarity parameters match those observed in network traffic. Both theoretical development and experimental results are provided.

Citation Download Citation

Raghuveer M. Rao, S. Lee, Soheil A. Dianat, and Athimootil V. Mathew "Linear scale-invariant system models for self-similar wireless traffic characterization", Proc. SPIE 4045, Digital Wireless Communication II, (26 July 2000); https://doi.org/10.1117/12.394095

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available