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

Low Complexity Resource Allocation Algorithm for IEEE 802.16 OFDMA System

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)
Alavi, S.M. ; Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA ; Chi Zhou ; Yu Cheng

Adaptive resource allocation including the allocation of subcarrier, bit and power in orthogonal frequency division multiple access (OFDMA) system, can significantly improve spectral efficiency, increase capacity, and reduce power consumption. The resource allocation in an OFDMA system is normally modeled as a combinatorial optimization problem involving a nonlinear objective with nonlinear constraints. This leads to high computation complexity that is only solvable online. In this paper we first develop a nonlinear optimization model of OFDMA resource allocation that incorporates not only the throughput constraint but also the delay constraint. We then find an equivalent linear formulation to this optimization problem to facilitate analysis. Moreover, we develop a heuristic approximation algorithm to provide a close solution to the equivalent linear programming problem. The heuristic algorithm is efficient enough for on-line adaptive resource allocation. Simulation results show that the heuristic solution can achieve almost same capacity but with less computation complexity.

Published in:

Communications, 2009. ICC '09. IEEE International Conference on

Date of Conference:

14-18 June 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.