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

Dynamic Traffic Allocation Scheme for Optimum Distribution in Heterogeneous 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)
Canru Wang ; Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China ; Hui Tian ; Jie Miao

We present an explicit adaptive traffic allocation scheme for optimum distribution in heterogeneous networks, where data traffic is broken down into multiple sub-flows, such that the aggregate of these multiple sub-flows at the terminal are merged into the original flow. For simplicity, parallel data transmission through inter-network cooperation is modeled as a sequent M/M/1 queue system. We aim to minimize the queue delay cost and maximize the probability of packets meeting a given delay constraint. The optimization problem has been achieved through the use of Lagrange multiplier. Depending on the utility the formulation done in this work is shown to optimally divide the rate of incoming data traffic into different paths. The simulation results show the convergence of the proposed scheme and significant improvement in performance comparing with other schemes.

Published in:

Vehicular Technology Conference (VTC Fall), 2011 IEEE

Date of Conference:

5-8 Sept. 2011

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.