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Permanent link (DOI): https://doi.org/10.7939/R3G67X

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GAME THEORETICAL POWER ALLOCATION IN MULTI-USER WIRELESS COOPERATIVE SYSTEMS Open Access

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Other title
Subject/Keyword
game theory
wireless cooperative systems
power allocation
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Cao, Qian
Supervisor and department
Zhao, H. Vicky (Electrical and Computer Engineering)
Jing, Yindi (Electrical and Computer Engineering)
Examining committee member and department
Khabbazian, Majid (Electrical and Computer Engineering)
Han, Zhu (University of Houston, Electrical and Computer Engineering)
Jiang, Hai (Electrical and Computer Engineering)
Department
Department of Electrical and Computer Engineering
Specialization
Communications
Date accepted
2013-12-23T11:43:19Z
Graduation date
2014-06
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
Cooperative system is a promising concept to improve the performance of the communication in wireless networks. This new paradigm of wireless communication imposes new challenges to traditional problems such as resource allocation. To model the behaviors of selfish and autonomous nodes in a cooperative system, game theory is an appropriate tool. This thesis focuses on power allocation in wireless cooperative systems based on game theory, with three research components. First, we study the power allocation in multi-user relay networks with altruistic relays. We propose an asymmetric Nash bargaining solution-based relay power allocation scheme, which can achieve a balance between global network performance and user fairness. We also give a distributed implementation of the proposed scheme. Second, we consider the power allocation and relay cooperation stimulation problem in multi-user relay networks. We use Stackelberg game to analyze the interaction between the relays and the users. Based on the proposed fair relay power allocation rule, the optimal relay power price is derived analytically. Third, we study the power allocation and user cooperation stimulation problem in multi-user cooperative networks. We propose an iterative double auction-based power allocation algorithm. We show that this algorithm achieves global optimality in the sense of weighted sum-signal-to-noise ratio.
Language
English
DOI
doi:10.7939/R3G67X
Rights
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 these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before 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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