By Topic

Adaptive subcarrier-and-bit allocation in multiclass multiuser OFDM systems using genetic algorithm

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
$33 $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

2 Author(s)
Hamed Ahmadi ; Institute for Infocomm Research - Agency for Science, Technology and Research ; Yong Huat Chew

Subcarrier and bit allocation has been extensively investigated in the literature to improve the spectral efficiency of multiuser OFDM systems. However, most of the earlier studies using genetic algorithms (GA) focused on single-class service and users of best effort data rate. In this paper, a novel GA method which allocates subcarriers and bits to rate guaranteed users is presented. As the reproduction process generates chromosomes which do not fulfill the constraints, our algorithm integrates the invisible walls technique used in Particle Swam Optimization to retain the diversity of the chromosomes. Simulation results show that the subcarrier and bit allocation strategy computed based on our proposed GA can achieve lower total power consumption compare to an algorithm modified from one of the pervious works. This verifies that our algorithm has better convergence rate and lower risk that the solution will be trapped at local optimums, while guarantees the required bit rate for each class of service.

Published in:

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

Date of Conference:

13-16 Sept. 2009