Cart (Loading....) | Create Account
Close category search window

Performance analysis and enhancement of the next generation cellular 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

4 Author(s)
Xiang Yu ; Dept. of Comput. Sci., Frostburg State Univ. ; Chunming Qiao ; Xin Wang ; Dahai Xu

As more and more wireless subscribers access the Internet through cellular networks, Internet data traffic, which is known to be long range dependent (LRD), will soon dominate the conventional voice traffic. In this paper, we study the impact of such LRD data traffic on the statistical characteristics of multi-access interference (MAI) and signal to interference-plus-noise ratio (SINR) in a code division multiple access (CDMA) network. Through analysis and simulation, we show that the time-scaled MAI and SINR have slow decaying tail distributions due to the LRD data traffic. As a result, the outage probability is larger for data users than that for voice users. To improve the performance of the CDMA network in the presence of LRD data traffic, we propose a variable period prediction scheme to predict MAI or the equivalent number of active users. We show that the proposed variable period prediction is not only more accurate for data users but also less memory-consuming than existing fixed period prediction. In addition, rate control based on variable period prediction can achieve lower outage probability and higher throughput for data users than that based on fixed period prediction

Published in:

World of Wireless, Mobile and Multimedia Networks, 2006. WoWMoM 2006. International Symposium on a

Date of Conference:

0-0 0

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.