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

Adaptive interference coordination in multi-cell OFDMA systems

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)
Quek, T.Q.S. ; Inst. for Infocomm Res., Singapore, Singapore ; Zhongding Lei ; Sumei Sun

In multi-cell OFDMA systems, inter-cell interference can severely degrade the system throughput, particularly for cell-edge users. To mitigate the inter-cell interference problem, interference coordination is a promising approach that effectively restricts and allocates certain resources among users in different cells to minimize the effect of inter-cell interference. However, most approaches are studied for static user distribution/traffic load and usually require a centralizer controller to solve a complicated optimization problem. In this paper, we propose an adaptive and distributed interference coordination algorithm that can achieve an efficient frequency reuse for a given user distribution and traffic load. The proposed algorithm only requires minimal coordination between base stations and does not need any a priori frequency planning. To enable reduction in system optimization, we classify the users into two groups, namely cell-interior and cell-edge user groups. With such user group differentiation, we can efficiently decompose a multi-cell optimization problem into distributed optimization problems, which is composed of solving single-cell resource allocation problem.

Published in:

Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on

Date of Conference:

13-16 Sept. 2009

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.