By Topic

Multi-service traffic models of heterogeneous wireless communication networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Debin Zou ; Sch. of Telecommun. Eng., Beijing Univ. of Posts & Telecommun., Beijing ; Xing Zhang ; Wenbo Wang

A good traffic model can greatly improve the spectrum efficiency of wireless networks. Conventional traffic models, such as Poisson distribution, only suit for traditional traffics, such as Voice. With the emergency of various kinds of traffics, especially the packet-switched data services of 3G/B3G in Heterogeneous Wireless communication networks, new traffic models are brought to apply increasingly. Long-range dependence (LRD) or self-similarity and multi-fractality are the distinct characteristics of these new traffics, accordingly kinds of traffic models were brought out subsequently. This paper analyzes the principle and the differences of these models, and proposes an optimal traffic modeling algorithm, named Infinitely Divisible Cascades Model (IDC). Further topics on the multi-service traffic modeling for the heterogeneous wireless communication networks are also presented in this paper.

Published in:

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Date of Conference:

25-27 June 2008