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Permanent link (DOI): https://doi.org/10.7939/R3QM77

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Resource Allocation for OFDMA-based multicast wireless systems Open Access

Descriptions

Other title
Subject/Keyword
Lagrange dual optimization
genetic algorithm
wireless multicast
OFDMA
resource allocation
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Ngo, Duy Trong
Supervisor and department
Tellambura, Chintha (Electrical and Computer Engineering)
Examining committee member and department
MacGregor, Mike (Computing Science)
Jiang, Hai (Electrical and Computer Engineering)
Department
Electrical and Computer Engineering
Specialization

Date accepted
2009-08-06T15:33:54Z
Graduation date
2009-11
Degree
Master of Science
Degree level
Master's
Abstract
Regarding the problems of resource allocation in OFDMA-based wireless communication systems, much of the research effort mainly focuses on finding efficient power control and subcarrier assignment policies. With systems employing multicast transmission, the available schemes in literature are not always applicable. Moreover, the existing approaches are particularly inaccessible in practical systems in which there are a large number of OFDM subcarriers being utilized, as the required computational burden is prohibitively high. The ultimate goal of this research is therefore to propose affordable mechanisms to flexibly and effectively share out the available resources in multicast wireless systems deploying OFDMA technology. Specifically, we study the resource distribution problems in both conventional and cognitive radio network settings, formulating the design problems as mathematical optimization programs, and then offering the solution methods. Suboptimal and optimal schemes with high performance and yet of acceptable complexity are devised through the application of various mathematical optimization tools such as genetic algorithm and Lagrangian dual optimization. The novelties of the proposed approaches are confirmed, and their performances are verified by computer simulation with the presentation of numerical examples to support the findings.
Language
English
DOI
doi:10.7939/R3QM77
Rights
License granted by Duy Ngo (trongduy@ualberta.ca) on 2009-08-05T20:17:33Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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